Instruction: Can you detect any possible entities from the given text and classify them according to their types?

miscellaneous person location organization

LEICESTERSHIRE

CRICKET - LEICESTERSHIRE TAKE OVER AT TOP AFTER INNINGS VICTORY .


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LONDON

LONDON 1996-08-30


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Leicestershire

West Indian

Phil Simmons

Somerset

West Indian all-rounder Phil Simmons took four for 38 on Friday as Leicestershire beat Somerset by an innings and 39 runs in two days to take over at the head of the county championship .


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Essex

Kent

Nottinghamshire

Derbyshire

Surrey

Their stay on top , though , may be short-lived as title rivals Essex , Derbyshire and Surrey all closed in on victory while Kent made up for lost time in their rain-affected match against Nottinghamshire .


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England

Grace Road

Leicestershire

Andy Caddick

Somerset

After bowling Somerset out for 83 on the opening morning at Grace Road , Leicestershire extended their first innings by 94 runs before being bowled out for 296 with England discard Andy Caddick taking three for 83 .


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Simmons

Somerset

Trailing by 213 , Somerset got a solid start to their second innings before Simmons stepped in to bundle them out for 174 .


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Nasser Hussain

Essex

Headingley

Peter Such

Yorkshire

Essex , however , look certain to regain their top spot after Nasser Hussain and Peter Such gave them a firm grip on their match against Yorkshire at Headingley .


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Essex

England

Hussain

Hussain , considered surplus to England 's one-day requirements , struck 158 , his first championship century of the season , as Essex reached 372 and took a first innings lead of 82 .


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Yorkshire

Such

By the close Yorkshire had turned that into a 37-run advantage but off-spinner Such had scuttled their hopes , taking four for 24 in 48 balls and leaving them hanging on 119 for five and praying for rain .


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Oval

Surrey

England

Chris Lewis

Warwickshire

At the Oval , Surrey captain Chris Lewis , another man dumped by England , continued to silence his critics as he followed his four for 45 on Thursday with 80 not out on Friday in the match against Warwickshire .


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Surrey

England

Mark Butcher

He was well backed by England hopeful Mark Butcher who made 70 as Surrey closed on 429 for seven , a lead of 234 .


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Worcestershire

Derbyshire

Derbyshire kept up the hunt for their first championship title since 1936 by reducing Worcestershire to 133 for five in their second innings , still 100 runs away from avoiding an innings defeat .


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Derbyshire

Tim O'Gorman

Australian

Tom Moody

Chris Adams

Australian Tom Moody took six for 82 but Chris Adams , 123 , and Tim O'Gorman , 109 , took Derbyshire to 471 and a first innings lead of 233 .


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Kent

Nottinghamshire

After the frustration of seeing the opening day of their match badly affected by the weather , Kent stepped up a gear to dismiss Nottinghamshire for 214 .


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ex-England

Paul Johnson

Martin McCague

They were held up by a gritty 84 from Paul Johnson but ex-England fast bowler Martin McCague took four for 55 .


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Kent

By stumps Kent had reached 108 for three .


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ENGLISH COUNTY CHAMPIONSHIP

CRICKET - ENGLISH COUNTY CHAMPIONSHIP SCORES .


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LONDON

LONDON 1996-08-30


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English

Result and close of play scores in English county championship matches on Friday :


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Leicestershire

Leicester

Somerset

Leicester : Leicestershire beat Somerset by an innings and 39 runs .


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Somerset

P. Simmons

Leicestershire

Somerset 83 and 174 ( P. Simmons 4-38 ) , Leicestershire 296 .


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Leicestershire

Somerset

Leicestershire 22 points , Somerset 4 .


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S. Watkin

Durham

Glamorgan

Chester-le-Street

H. Morris

A. Dale

D. Blenkiron

Chester-le-Street : Glamorgan 259 and 207 ( A. Dale 69 , H. Morris 69 ; D. Blenkiron 4-43 ) , Durham 114 ( S. Watkin 4-28 ) and 81-3 .


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

Tunbridge Wells

Nottinghamshire

P. Johnson

M. McCague

Kent

Tunbridge Wells : Nottinghamshire 214 ( P. Johnson 84 ; M. McCague 4-55 ) , Kent 108-3 .


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C. Lewis

Warwickshire

G. Kersey

J. Ratcliffe

D. Bicknell

London

Surrey

M. Butcher

The Oval

London ( The Oval ) : Warwickshire 195 , Surrey 429-7 ( C. Lewis 80 not out , M. Butcher 70 , G. Kersey 63 , J. Ratcliffe 63 , D. Bicknell 55 ) .


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

W. Athey

Lancashire

Hove

I. Austin

W. Hegg

V. Drakes

Sussex

Hove : Sussex 363 ( W. Athey 111 , V. Drakes 52 ; I. Austin 4-37 ) , Lancashire 197-8 ( W. Hegg 54 )


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

Hampshire

Middlesex

Portsmouth

M. Ramprakash

J. Pooley

M. Gatting

Portsmouth : Middlesex 199 and 426 ( J. Pooley 111 , M. Ramprakash 108 , M. Gatting 83 ) , Hampshire 232 and 109-5 .


Instruction: Can you pinpoint any potential entities in the given text and label them based on their respective types?

T. Moody

T.O'Gorman

Derbyshire

K. Barnett

Chesterfield

J. Adams

Worcestershire

Chesterfield : Worcestershire 238 and 133-5 , Derbyshire 471 ( J. Adams 123 , T.O'Gorman 109 not out , K. Barnett 87 ; T. Moody 6-82 )


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

Northamptonshire

Bristol

K. Curran

J. Russell

A. Smith

Gloucestershire

Bristol : Gloucestershire 183 and 185-6 ( J. Russell 56 not out ) , Northamptonshire 190 ( K. Curran 52 ; A. Smith 5-68 ) .


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ASHES

CRICKET - 1997 ASHES INTINERARY .


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LONDON

LONDON 1996-08-30


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Australia

Ashes

Australia will defend the Ashes in


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England

a six-test series against England during a four-month tour


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Test and County Cricket Board

starting on May 13 next year , the Test and County Cricket Board


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said on Friday .


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Australia

Australia will also play three one-day internationals and


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four one-day warm-up matches at the start of the tour .


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The tourists will play nine first-class matches against


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British Universities

English

English county sides and another against British Universities ,


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Minor Counties

as well as one-day matches against the Minor Counties and


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Scotland

Scotland .


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Tour itinerary :


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May


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London

May 13 Arrive in London


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Lord 's

May 14 Practice at Lord 's


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Arundel

Duke of Norfolk 's XI

May 15 v Duke of Norfolk 's XI ( at Arundel )


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Northampton

May 17 v Northampton


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Worcestershire

May 18 v Worcestershire


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Durham

May 20 v Durham


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Headingley

May 22 First one-day international ( at Headingley ,


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Leeds

Leeds )


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The Oval

May 24 Second one-day international ( at The Oval ,


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London

London )


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London

Lord 's

May 25 Third one-day international ( at Lord 's , London )


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Gloucestershire

Sussex

Surrey

May 27-29 v Gloucestershire or Sussex or Surrey ( three


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days )


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Derbyshire

May 31 - June 2 v Derbyshire ( three days )


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June


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Birmingham

Edgbaston

June 5-9 First test match ( at Edgbaston , Birmingham )


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June 11-13 v a first class county ( to be confirmed )


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Leicestershire

June 14-16 v Leicestershire ( three days )


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Lord 's

June 19-23 Second test ( at Lord 's )


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British Universities

Oxford

June 25-27 v British Universities ( at Oxford , three days )


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Hampshire

June 28-30 v Hampshire ( three days )


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July


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Old Trafford

Manchester

July 3-7 Third test ( at Old Trafford , Manchester )


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Minor Counties XI

July 9 v Minor Counties XI


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Scotland

July 12 v Scotland


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Glamorgan

July 16-18 v Glamorgan ( three days )


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Middlesex

July 19-21 v Middlesex ( three days )


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Headingley

July 24-28 Fourth test ( at Headingley )


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August


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

Somerset

August 1-4 v Somerset ( four days )


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Trent Bridge

Nottingham

August 7-11 Fifth test ( at Trent Bridge , Nottingham )


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Kent

August 16-18 v Kent ( three days )


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The Oval

London

August 21-25 Sixth test ( at The Oval , London ) .


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ENGLAND

SHEARER

SOCCER - SHEARER NAMED AS ENGLAND CAPTAIN .


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LONDON

LONDON 1996-08-30


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

England

Alan Shearer

The world 's costliest footballer Alan Shearer was named as the new England captain on Friday .


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Tony Adams

David Platt

European

Newcastle

The 26-year-old , who joined Newcastle for 15 million pounds sterling ( $ 23.4 million ) , takes over from Tony Adams , who led the side during the European championship in June , and former captain David Platt .


Instruction: Would you be able to identify any potential entities in the given text and determine their corresponding types?

Moldova

Adams

Platt

England

World Cup

Adams and Platt are both injured and will miss England 's opening World Cup qualifier against Moldova on Sunday .


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Glenn Hoddle

Blackburn

Shearer

Southampton

Shearer takes the captaincy on a trial basis , but new coach Glenn Hoddle said he saw no reason why the former Blackburn and Southampton skipper should not make the post his own .


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Hoddle

Alan

" I 'm sure there wo n't be a problem , I 'm sure Alan is the man for the job , " Hoddle said .


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Alan

" There were three or four people who could have done it but when I spoke to Alan he was up for it and really wanted it .


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" In four days it 's very difficult to come to a 100 percent conclusion about something like this ...


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but he knows how to conduct himself , his team mates respect him and he knows about the team situation even though he plays up front . "


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Euro 96

Teddy Sheringham

Shearer

Shearer 's Euro 96 striking partner Teddy Sheringham withdrew from the squad with an injury on Friday .


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Les Ferdinand

Newcastle

Shearer

He will probably be replaced by Shearer 's Newcastle team mate Les Ferdinand .


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BASKETBALL - INTERNATIONAL TOURNAMENT RESULT .


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BELGRADE

BELGRADE 1996-08-30


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Result in an international


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basketball tournament on Friday :


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Red Star

Yugoslavia

Dinamo

Russia

Red Star ( Yugoslavia ) beat Dinamo ( Russia ) 92-90 ( halftime


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47-47 )


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ROMANIA

LITHUANIA

SOCCER - ROMANIA BEAT LITHUANIA IN UNDER-21 MATCH .


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BUCHAREST

BUCHAREST 1996-08-30


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European

Lithuania

Romania

Romania beat Lithuania 2-1 ( halftime 1-1 ) in their European under-21 soccer match on Friday .


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Scorers :


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Cosmin Contra

Romania

Mihai Tararache

Romania - Cosmin Contra ( 31st ) , Mihai Tararache ( 75th )


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Danius Gleveckas

Lithuania

Lithuania - Danius Gleveckas ( 13rd )


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Attendance : 200


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ROTOR

VOLGOGRAD

SOCCER - ROTOR FANS LOCKED OUT AFTER VOLGOGRAD VIOLENCE .


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MOSCOW

MOSCOW 1996-08-30


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Rotor Volgograd

Rotor

Dynamo Moscow

Rotor Volgograd must play their next home game behind closed doors after fans hurled bottles and stones at Dynamo Moscow players during a 1-0 home defeat on Saturday that ended Rotor 's brief spell as league leaders .


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Anatoly Gorokhovsky

Lada Togliatti

Rotor

Russian

The head of the Russian league 's disciplinary committee , Anatoly Gorokhovsky , said on Friday that Rotor would play Lada Togliatti to empty stands on September 3 .


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Manchester United

UEFA Cup

The club , who put Manchester United out of last year 's UEFA Cup , were fined $ 1,000 .


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Rotor

Despite the defeat , Rotor are well placed with 11 games to play in the championship .


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Moscow

Volgograd

Dynamo Moscow

Alania

Lying three points behind Alania and two behind Dynamo Moscow , the Volgograd side have a game in hand over the leaders and two over the Moscow club .


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PANAMA

ROBERTO DURAN

BOXING - PANAMA 'S ROBERTO DURAN FIGHTS THE SANDS OF TIME .


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PANAMA CITY

PANAMA CITY 1996-08-30


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Panamanian

Roberto " Hands of Stone " Duran

Panamanian boxing legend Roberto " Hands of Stone " Duran climbs into the ring on Saturday in another age-defying attempt to sustain his long career .


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Ariel Cruz

Panama City

Duran

Mexican

Duran , 45 , takes on little-known Mexican Ariel Cruz , 30 , in a super middleweight non-title bout in Panama City .


Instruction: Please identify any entities that might exist in the given text and classify them according to their respective types.

Duran

Return of the Legend

Duran

The fight , Duran 's first on home soil for 10 years , is being billed here as the " Return of the Legend " and Duran still talks as if he was in his prime .


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

" I want a fifth title .


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This match is to prepare me .


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I feel good .


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Reuters

Duran

I 'm not retiring , " Duran told Reuters .


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But those close to the boxer acknowledge that the man who has won championships in four different weight classes -- lightweight , welterweight , junior middleweight and middleweight -- is drawing close to the end of his career .


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" Each time he fights , he 's on the last frontier of his career .


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Ramon Manzanares

Boxing Association

Panamanian

If he loses Saturday , it could devalue his position as one of the world 's great boxers , " Panamanian Boxing Association President Ramon Manzanares said .


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Hector " Macho " Camacho

Puerto Rico

Duran

Duran , whose 97-12 record spans three decades , hopes a win in the 10-round bout will earn him a rematch against Puerto Rico 's Hector " Macho " Camacho .


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Atlantic City

Panamanian

Camacho

Camacho took a controversial points decision against the Panamanian in Atlantic City in June in a title fight .


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HONG KONG OPEN

SQUASH - HONG KONG OPEN QUARTER-FINAL RESULTS .


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HONG KONG

HONG KONG 1996-08-30


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Hong Kong Open

Mark Cairns

England

Pakistan

Jansher Khan

Quarter-final results in the Hong Kong Open on Friday ( prefix number denotes seeding ) : 1 - Jansher Khan ( Pakistan ) beat Mark Cairns ( England ) 15-10 15-6 15-7


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Australia

Australia

Anthony Hill

Dan Jenson

Anthony Hill ( Australia ) beat Dan Jenson ( Australia ) 15-9 15-8 15-17 17-15


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Chris Walker

England

Peter Nicol

Scotland

4 - Peter Nicol ( Scotland ) beat 7 - Chris Walker ( England ) 15-8 15-13 13-15 15-9


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

Ireland

Rodney Eyles

Australia

Derek Ryan

2 - Rodney Eyles ( Australia ) beat Derek Ryan ( Ireland ) 15-6 15-9 11-15 15-10 .


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SOUTH KOREAN

SOCCER - RESULTS OF SOUTH KOREAN PRO-SOCCER GAMES .


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SEOUL

SEOUL 1996-08-30


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South Korean

Results of South Korean pro-soccer


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games played on Thursday .


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Pohang

Ulsan

Pohang 3 Ulsan 2 ( halftime 1-0 )


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Puchon

Chonbuk

Puchon 2 Chonbuk 1 ( halftime 1-1 )


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Standings after games played on Thursday ( tabulate under -


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won , drawn , lost , goals for , goals against , points ) :


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W D L G / F G / A P


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Puchon

Puchon 3 1 0 6 1 10


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Chonan

Chonan 3 0 1 13 10 9


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Pohang

Pohang 2 1 1 11 10 7


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Suwan

Suwan 1 3 0 7 3 6


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Ulsan

Ulsan 1 0 2 8 9 3


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Anyang

Anyang 0 3 1 6 9 3


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Chonnam

Chonnam 0 2 1 4 5 2


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Pusan

Pusan 0 2 1 3 7 2


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

Chonbuk

Chonbuk 0 0 3 3 7 0


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

S. KOREAN

BASEBALL - RESULTS OF S. KOREAN PROFESSIONAL GAMES .


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SEOUL

SEOUL 1996-08-30


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

South Korean

Results of South Korean


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professional baseball games played on Thursday .


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LG

OB

LG 2 OB 0


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Lotte

Hyundai

Lotte 6 Hyundai 2


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Hyundai

Lotte

Hyundai 6 Lotte 5


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Haitai

Samsung

Haitai 2 Samsung 0


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Samsung

Haitai

Samsung 10 Haitai 3


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Hanwha

Ssangbangwool

Hanwha 6 Ssangbangwool 5


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Lotte

Haitai

Samsung

Hyundai

Note - Lotte and Hyundai , Haitai and Samsung played two games .


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Standings after games played on Thursday ( tabulate under


Instruction: Please identify any potential entities in the given text and determine their corresponding types.

won , drawn , lost , winning percentage , games behind first place )


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W D L PCT GB


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Haitai

Haitai 64 2 43 .596 -


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

Ssangbangwool

Ssangbangwool 59 2 49 .545 5 1/2


Instruction: From the provided text, could you identify any entities and determine their types?

Hanwha

Hanwha 58 1 49 .542 6


Instruction: Please identify any entities that might exist in the given text and classify them according to their respective types.

Hyundai

Hyundai 57 5 49 .536 6 1/2


Instruction: Please identify possible entities from the given text and determine their types.

Samsung

Samsung 49 5 56 .468 14


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

Lotte

Lotte 46 6 54 .462 14 1/2


Instruction: Could you detect any possible entities from the given text and label them based on their types?

LG

LG 46 5 59 .441 17


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

OB

OB 42 6 62 .409 20 1/2


Instruction: Please identify any entities in the given text and determine their corresponding types.

U.S. OPEN

TENNIS - FRIDAY 'S RESULTS FROM THE U.S. OPEN .


Instruction: Would you be able to recognize any possible entities in the given text and determine their types?

NEW YORK

NEW YORK 1996-08-30


Instruction: Please identify any possible entities in the given text and label them based on their types.

National Tennis Centre

U.S. Open Tennis Championships

Results from the U.S. Open Tennis Championships at the National Tennis Centre on Friday ( prefix number denotes seeding ) :


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Women 's singles , third round


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Argentina

France

Sandrine Testud

Ines Gorrochategui

Sandrine Testud ( France ) beat Ines Gorrochategui ( Argentina ) 4-6 6-2 6-1


Instruction: Please identify any entities in the provided text and classify them based on their types.

Men 's singles , second round


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Australia

Goran Ivanisevic

Croatia

Scott Draper

4 - Goran Ivanisevic ( Croatia ) beat Scott Draper ( Australia ) 6-7 ( 1-7 ) 6-3 6-4 6-4


Instruction: Can you detect any entities in the provided text and label them based on their types?

U.S.

Britain

Tim Henman

Doug Flach

Tim Henman ( Britain ) beat Doug Flach ( U.S. ) 6-3 6-4 6-2


Instruction: Please identify any potential entities in the given text and determine their corresponding types.

Russia

Australia

Mark Philippoussis

Andrei Olhovskiy

Mark Philippoussis ( Australia ) beat Andrei Olhovskiy ( Russia ) 6 - 3 6-4 6-2


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Netherlands

Sjeng Schalken

David Rikl

Czech Republic

Sjeng Schalken ( Netherlands ) beat David Rikl ( Czech Republic ) 6 - 2 6-4 6-4


Instruction: Please recognize any possible entities in the given text and determine their respective types.

Spain

France

Guy Forget

Felix Mantilla

Guy Forget ( France ) beat 17 - Felix Mantilla ( Spain ) 6-4 7-5 6-3


Instruction: Please identify any possible entities in the given text and label them based on their types.

Men 's singles , second round


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Sweden

Russia

Alexander Volkov

Mikael Tillstrom

Alexander Volkov ( Russia ) beat Mikael Tillstrom ( Sweden ) 1-6 6- 4 6-1 4-6 7-6 ( 10-8 )


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

Sweden

Jonas Bjorkman

David Nainkin

South Africa

Jonas Bjorkman ( Sweden ) beat David Nainkin ( South Africa ) ) 6-4 6-1 6-1


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

Women 's singles , third round


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

France

Lindsay Davenport

U.S.

Anne-Gaelle Sidot

8 - Lindsay Davenport ( U.S. ) beat Anne-Gaelle Sidot ( France ) 6-0 6-3


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Conchita Martinez

Spain

Helena Sukova

Czech Republic

4 - Conchita Martinez ( Spain ) beat Helena Sukova ( Czech Republic ) 6-4 6-3


Instruction: Please identify any entities in the provided text and classify them based on their types.

Romania

South Africa

Amanda Coetzer

Irina Spirlea

Amanda Coetzer ( South Africa ) beat Irina Spirlea ( Romania ) 7-6 ( 7-5 ) 7-5


Instruction: Would you be able to recognize any possible entities in the given text and determine their types?

France

Spain

Filippo Veglio

Alex Corretja

Spain

Switzerland

Cedric Pioline

Roberto Carretero

Add Men 's singles , second round 16 - Cedric Pioline ( France ) beat Roberto Carretero ( Spain ) 4-6 6 - 2 6-2 6-1 Alex Corretja ( Spain ) beat Filippo Veglio ( Switzerland ) 6-7 ( 4- 7 ) 6-4 6-4 6-0


Instruction: Can you detect any entities in the provided text and label them based on their types?

Germany

U.S.

Barbara Rittner

Sweden

Asa Carlsson

Linda Wild

Gabriela Sabatini

Argentina

Add Women 's singles , third round Linda Wild ( U.S. ) beat Barbara Rittner ( Germany ) 6-4 4-6 7-5 Asa Carlsson ( Sweden ) beat 15 - Gabriela Sabatini ( Argentina ) 7-5 3-6 6-2


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

U.S.

Netherlands

Michael Tebbutt

Czech Republic

Paul Haarhuis

Australia

Pete Sampras

Jiri Novak

Add Men 's singles , second round 1 - Pete Sampras ( U.S. ) beat Jiri Novak ( Czech Republic ) 6-3 1-6 6-3 4-6 6-4 Paul Haarhuis ( Netherlands ) beat Michael Tebbutt ( Australia ) 1- 6 6-2 6-2 6-3


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

U.S.

Kimberly Po

U.S.

Lisa Raymond

Add Women 's singles , third round Lisa Raymond ( U.S. ) beat Kimberly Po ( U.S. ) 6-3 6-2


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

Add men 's singles , second round


Instruction: Please identify any entities in the provided text and classify them based on their types.

Sweden

Germany

Hendrik Dreekmann

Thomas Johansson

Hendrik Dreekmann ( Germany ) beat Thomas Johansson ( Sweden )


Instruction: Please identify any entities in the given text and determine their corresponding types.

7-6 ( 7-1 ) 6-2 4-6 6-1


Instruction: Please identify any entities that might exist in the given text and classify them according to their respective types.

Slovakia

Ukraine

Andrei Medvedev

Jan Kroslak

Andrei Medvedev ( Ukraine ) beat Jan Kroslak ( Slovakia ) 6-4 6-3


Instruction: From the given text, can you pinpoint any entities and label them based on their types?


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

Czech

Czech Republic

Petr Korda

Bohdan Ulihrach

Petr Korda ( Czech Republic ) bat Bohdan Ulihrach ( Czech


Instruction: Please identify any entities in the given text and determine their corresponding types.

Republic

Republic ) 6-0 7-6 ( 7-5 ) 6-2


Instruction: From the given text, could you identify any entities and determine their respective types?

Add women 's singles , third round


Instruction: Please identify any entities in the provided text and classify them based on their types.

Madagascar

Monica Seles

U.S.

Dally Randriantefy

2 - Monica Seles ( U.S. ) beat Dally Randriantefy ( Madagascar )


Instruction: Please identify any entities in the provided text and classify them based on their types.

6-0 6-2


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?


Instruction: Please identify any entities in the given text and determine their corresponding types.

U.S.

Stefan Edberg

Sweden

Italy

Bernd Karbacher

Todd Martin

Andrea Gaudenzi

Germany

Add men 's singles , second round 12 - Todd Martin ( U.S. ) beat Andrea Gaudenzi ( Italy ) 6-3 6-2 6-2 Stefan Edberg ( Sweden ) beat Bernd Karbacher ( Germany ) 3-6 6-3 6-3 1-0 retired ( leg injury )


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MAJOR LEAGUE

BASEBALL - MAJOR LEAGUE STANDINGS AFTER THURSDAY 'S GAMES .


Instruction: From the given text, could you identify any entities and determine their respective types?

NEW YORK

NEW YORK 1996-08-30


Instruction: Could you recognize any entities that may be present in the provided text and classify them according to their types?

Major League Baseball

Major League Baseball


Instruction: Please identify any potential entities in the given text and determine their corresponding types.

standings after games played on Thursday ( tabulate under won ,


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

lost , winning percentage and games behind ) :


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AMERICAN LEAGUE

AMERICAN LEAGUE


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

EASTERN DIVISION

EASTERN DIVISION


Instruction: Could you recognize any possible entities from the provided text and determine their types?

W L PCT GB


Instruction: Please identify any entities in the given text and determine their corresponding types.

NEW YORK

NEW YORK 74 59 .556 -


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

BALTIMORE

BALTIMORE 70 63 .526 4


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

BOSTON

BOSTON 69 65 .515 5 1/2


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

TORONTO

TORONTO 63 71 .470 11 1/2


Instruction: Please recognize any possible entities in the given text and determine their respective types.

DETROIT

DETROIT 48 86 .358 26 1/2


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

CENTRAL DIVISION

CENTRAL DIVISION


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

CLEVELAND

CLEVELAND 80 53 .602 -


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

CHICAGO

CHICAGO 71 64 .526 10


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

MINNESOTA

MINNESOTA 67 67 .500 13 1/2


Instruction: Please identify any possible entities in the given text and label them based on their types.

MILWAUKEE

MILWAUKEE 64 71 .474 17


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

KANSAS CITY

KANSAS CITY 61 74 .452 20


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

WESTERN DIVISION

WESTERN DIVISION


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

TEXAS

TEXAS 75 58 .564 -


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

SEATTLE

SEATTLE 70 63 .526 5


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

OAKLAND

OAKLAND 64 72 .471 12 1/2


Instruction: Could you recognize any possible entities from the provided text and determine their types?

CALIFORNIA

CALIFORNIA 62 72 .463 13 1/2


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

FRIDAY , AUGUST 30 SCHEDULE


Instruction: Please identify any entities in the provided text and classify them based on their types.

KANSAS CITY

DETROIT

KANSAS CITY AT DETROIT


Instruction: Please identify possible entities from the given text and determine their types.

CHICAGO

TORONTO

CHICAGO AT TORONTO


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

MINNESOTA

MILWAUKEE

MINNESOTA AT MILWAUKEE


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

CLEVELAND

TEXAS

CLEVELAND AT TEXAS


Instruction: Please identify any entities in the provided text and classify them based on their types.

NEW YORK

CALIFORNIA

NEW YORK AT CALIFORNIA


Instruction: Please identify any possible entities in the given text and label them based on their types.

BOSTON

OAKLAND

BOSTON AT OAKLAND


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

BALTIMORE

SEATTLE

BALTIMORE AT SEATTLE


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

NATIONAL LEAGUE

NATIONAL LEAGUE


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

EASTERN DIVISION

EASTERN DIVISION


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

W L PCT GB


Instruction: Would you be able to identify any potential entities in the given text and determine their corresponding types?

ATLANTA

ATLANTA 83 49 .629 -


Instruction: Please identify any possible entities in the given text and label them based on their types.

MONTREAL

MONTREAL 71 61 .538 12


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

FLORIDA

FLORIDA 64 70 .478 20


Instruction: Can you detect any entities in the provided text and label them based on their types?

NEW YORK

NEW YORK 59 75 .440 25


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

PHILADELPHIA

PHILADELPHIA 54 80 .403 30


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

CENTRAL DIVISION

CENTRAL DIVISION


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

HOUSTON

HOUSTON 72 63 .533 -


Instruction: Please identify any entities in the given text and determine their corresponding types.

ST LOUIS

ST LOUIS 69 65 .515 2 1/2


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

CINCINNATI

CINCINNATI 66 67 .496 5


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

CHICAGO

CHICAGO 65 66 .496 5


Instruction: Can you detect any possible entities from the given text and classify them according to their types?

PITTSBURGH

PITTSBURGH 56 77 .421 15


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

WESTERN DIVISION

WESTERN DIVISION


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

SAN DIEGO

SAN DIEGO 75 60 .556 -


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

LOS ANGELES

LOS ANGELES 72 61 .541 2


Instruction: Could you recognize any possible entities from the provided text and determine their types?

COLORADO

COLORADO 70 65 .519 5


Instruction: Please recognize any possible entities in the given text and determine their respective types.

SAN FRANCISCO

SAN FRANCISCO 57 74 .435 16


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

FRIDAY , AUGUST 30 SCHEDULE


Instruction: Please identify any entities in the given text and determine their corresponding types.

ATLANTA

CHICAGO

ATLANTA AT CHICAGO


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

FLORIDA

CINCINNATI

FLORIDA AT CINCINNATI


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

SAN DIEGO

MONTREAL

SAN DIEGO AT MONTREAL


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

LOS ANGELES

PHILADELPHIA

LOS ANGELES AT PHILADELPHIA


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

HOUSTON

PITTSBURGH

HOUSTON AT PITTSBURGH


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

SAN FRANCISCO

NEW YORK

SAN FRANCISCO AT NEW YORK


Instruction: Could you pinpoint any potential entities that may exist in the given text and label them based on their respective types?

ST LOUIS

COLORADO

COLORADO AT ST LOUIS


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

MAJOR LEAGUE

BASEBALL - MAJOR LEAGUE RESULTS THURSDAY .


Instruction: Can you pinpoint any entities that might exist in the provided text and label them based on their types?

NEW YORK

NEW YORK 1996-08-30


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Major League

Results of Major League


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Baseball games played on Thursday ( home team in CAPS ) :


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American League

American League


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

Kansas City

DETROIT

DETROIT 4 Kansas City 1


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Minnesota

MILWAUKEE

Minnesota 6 MILWAUKEE 1


Instruction: Please identify any entities that might exist in the given text and classify them according to their respective types.

New York

CALIFORNIA

CALIFORNIA 14 New York 3


Instruction: Would you be able to recognize any entities that might exist in the provided text and categorize them based on their types?

SEATTLE

Baltimore

SEATTLE 9 Baltimore 6


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

National League

National League


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

NEW YORK

San Diego

San Diego 3 NEW YORK 2


Instruction: Could you pinpoint any potential entities that may exist in the given text and label them based on their respective types?

Chicago

HOUSTON

Chicago 4 HOUSTON 3


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Cincinnati

COLORADO

Cincinnati 18 COLORADO 7


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Atlanta

PITTSBURGH

Atlanta 5 PITTSBURGH 1


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

Los Angeles

MONTREAL

Los Angeles 2 MONTREAL 1


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

ST LOUIS

Florida

Florida 10 ST LOUIS 9


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

O'BRIEN

TARANGO

TENNIS - TARANGO , O'BRIEN SPRING TWIN UPSETS UNDER THE LIGHTS .


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Larry Fine

Larry Fine


Instruction: Please identify any entities in the given text and determine their corresponding types.

NEW YORK

NEW YORK 1996-08-30


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Marcelo Rios

Andre Agassi

U.S. Open

MaliVai Washington

Wimbledon

Andre Agassi escaped disaster on Thursday but Wimbledon finalist MaliVai Washington and Marcelo Rios were not so fortunate on a night of upsets at the U.S. Open .


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Alex O'Brien

Wimbledon

Washington

The 11th-seeded Washington fell short of reprising his Wimbledon miracle comeback as he lost to red-hot wildcard Alex O'Brien 6-3 6-4 5-7 3-6 6-3 in a two hour 51 minute struggle on the Stadium court .


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

Rios

Wimbledon

Jeff Tarango

Next door on the grandstand , 10th seed Rios lost to another player with a Wimbledon connection -- bad boy Jeff Tarango .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

Chilean

The temperamental left-hander defeated the Chilean 6-4 4-6 7-6 6-2 .


Instruction: Can you detect any possible entities from the given text and determine their corresponding types?

India

Leander Paes

Agassi

The day programme went smoothly although sixth-seeded former champion Agassi had to wriggle out of a dangerous 3-6 0-4 hole , winning 18 of the last 19 games against India 's Leander Paes .


Instruction: Please identify possible entities from the given text and determine their types.

But the night belonged to the upstarts .


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Todd Martin

Wimbledon

Washington

Washington , who climbed back from a 1-5 deficit , two sets down in the third set against Todd Martin in the Wimbledon semifinals , looked poised for another sensational comeback .


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

Washington

New Haven

O'Brien

O'Brien , a winner two weeks ago in New Haven for his first pro title , served for the match at 5-4 in the third set before Washington came charging back .


Instruction: Would you be able to recognize any entities that might exist in the provided text and categorize them based on their types?

O'Brien

" I just kept saying to myself , ' keep giving yourself the best chance to win , keep battling , maybe something will happen , ' " said the 26-year-old O'Brien , ranked 65th .


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

" I kept my composure and I was proud of myself for that -- usually I would have folded up the tent and gone home . "


Instruction: Can you detect any entities in the provided text and label them based on their types?

U.S.

O'Brien

Washington

The hard-serving O'Brien , a former U.S. collegiate national champion , fired up 17 aces to ultimately subdue the never-say-die Washington .


Instruction: From the provided text, could you identify any entities and determine their types?

Washington

O'Brien

The fifth set stayed on serve until the sixth game , when Washington , after saving one break point with a forehand winner down the line , netted a backhand to give O'Brien a 4-2 lead .


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

Washington

Texan

The Texan blasted in two aces to hold serve at 5-2 and then converted his eighth match point for victory when Washington found the net with another backhand from 40-0 .


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" You just kind of keep fighting and you keep trying to make him play a little bit .


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Washington

I think he got a little tight at a couple of moments , " said Washington . "


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

But I think he served pretty well when he had to . "


Instruction: Could you recognize any entities that may be present in the provided text and classify them according to their types?

Wimbledon

All-England Club

Tarango

Rios

Tarango , whose Wimbledon tantrum two years ago brought him a $ 28,000 fine and suspension from this year 's tournament at the All-England Club , argued calls and taunted fans in his lively two hour , 24 minute tango with Rios on the grandstand .


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

American

Chilean

A boisterous cheering section backed the distracted Chilean and booed the lanky American , who ate up all the attention .


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

Tarango

" I 'm an emotional player , " said the 104th-ranked Tarango . "


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

I think I played very well tonight , very focused . "


Instruction: Please identify any entities in the given text and determine their corresponding types.

American

The match turned on the third-set tiebreaker , which the American won 7-5 much to the dismay of the spectators .


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

" I love the crowd if they boo me every day .


Instruction: Can you detect any entities that could be present in the given text and categorize them based on their types?

Tarango

It fires me up , makes me play my best tennis , " Tarango said .


Instruction: Please identify any potential entities in the given text and categorize them according to their types.

" I played some of my best tennis in college when fraternities were throwing beer on me .


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

If tennis was like that every day , I think everybody wold be having a lot more fun . "


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

Tarango

Rios

Rios did not appreciate Tarango 's antics .


Instruction: Can you pinpoint any entities that might exist in the provided text and label them based on their types?

Rios

" He 's always complaining too much , " said Rios . "


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

But I think it 's not that .


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

I think I played really bad .


Instruction: Would you be able to recognize any possible entities in the given text and determine their corresponding types?

It was tough to play at night .


Instruction: Can you detect any possible entities from the given text and classify them according to their types?

Balls were going really fast .


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

I lost too many points that I never lose .


Instruction: From the provided text, could you identify any entities and determine their types?

I did n't play my tennis . "


Instruction: Can you pinpoint any potential entities in the given text and label them based on their respective types?

" I do n't see the ball like I see during the day .


Instruction: From the provided text, could you detect any potential entities and classify them according to their respective types?

American

I play an American so that 's why I play at night .


Instruction: Would you be able to identify any entities in the provided text and label them based on their respective types?

I did n't feel good on the court . "


Instruction: From the given text, could you identify any entities and determine their respective types?

Tarango

Rios

At the end of the match , Tarango blew sarcastic kisses to the crowd , then jiggled his body to a Rios rooting section in a jeering salute .


Instruction: Please identify possible entities from the given text and determine their types.

Tarango

" I support their enthusiasm , " Tarango said about the fans . "


Instruction: From the given text, can you pinpoint any entities and label them based on their types?

At the same time , they 're cheering blatantly against me .


Instruction: Can you identify any potential entities in the provided text and categorize them based on their types?

After I won I figured I could give them a little razzle-dazzle . "


Instruction: Could you recognize entities that might exist in the given text and classify them according to their types?

AMERICAN FOOTBALL-RANDALL

NFL

CUNNINGHAM

NFL AMERICAN FOOTBALL-RANDALL CUNNINGHAM RETIRES .


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PHILADELPHIA

PHILADELPHIA 1996-08-29


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Randall Cunningham

National Football League

Randall Cunningham , the National Football League 's all-time leading rusher as a quarterback and one of the most athletic players ever to line up over centre , retired Thursday .


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Philadelphia Eagles

Cunningham

Cunningham played his entire 11-year career with the Philadelphia Eagles .


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Pro Bowl

Cunningham

A three-time Pro Bowl selection , Cunningham rushed for 4,482 yards on 677 carries .


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Philadelphia

Cunningham

Eagles

" I would like to thank the Eagles organisation and the wonderful fans of Philadelphia for supporting me throughout my career , " Cunningham said .


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" Although it saddens me to leave , I am looking forward to spending more time with my family and pursuing other interests that have been on the back burner for sometime . "


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Eagles

Jeffrey Lurie

Randall

NFL

" Randall was one of the most exciting quarterbacks in NFL history , " said Eagles owner Jeffrey Lurie . "


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Randall

NFL

Eagles

Philadelphia

Philadelphia

During his 11 years in Philadelphia , Randall was the cornerstone of the Eagles ' franchise and brought many great moments to fans in Philadelphia as well as across the NFL . "


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Cunningham

A second-round choice in 1985 , Cunningham completed 1,874-of-3,362 passes ( 55.7 percent ) for 22,877 yards and 150 touchdowns .


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Cunningham

Cunningham has already been signed as a broadcaster .


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GREATER MILWAUKEE OPEN

GOLF - LEADING SCORES AT GREATER MILWAUKEE OPEN .


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Wisconsin

MILWAUKEE

MILWAUKEE , Wisconsin 1996-08-29


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Leading scores in


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Greater Milwaukee Open

the $ 1.2 million Greater Milwaukee Open at the par-71 ,


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Brown Deer Park Golf Course

6,739-yard Brown Deer Park Golf Course after the first round


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U.S.

on Thursday ( players U.S. unless stated ) :


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Nolan Henke

62 Nolan Henke


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Bob Estes

64 Bob Estes


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Sweden

Billy Andrade

Jesper Parnevik

Duffy Waldorf

65 Billy Andrade , Duffy Waldorf , Jesper Parnevik ( Sweden )


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Dave Barr

Mike Sullivan

Canada

Neal Lancaster

Willie

66 Neal Lancaster , Dave Barr ( Canada ) , Mike Sullivan , Willie


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Loren Roberts

Steve Stricker

Russ Cochran

Wood

Brian Claar

Wood , Loren Roberts , Steve Stricker , Brian Claar , Russ Cochran


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Ken

Mark Calcavecchia

Billy Mayfair

Payne Stewart

67 Mark Calcavecchia , Payne Stewart , Billy Mayfair , Ken


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Jerry Kelly

Tim Simpson

Shane Bortsch

Green

Olin Browne

Green , Jerry Kelly , Tim Simpson , Olin Browne , Shane Bortsch ,


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Brian Henninger

Steve Jurgenson

Mike Hulbert

Tiger Woods

Mike Hulbert , Brian Henninger , Tiger Woods , Steve Jurgenson ,


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Bryan Gorman

Bryan Gorman


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WOODS

MILWAUKEE

HENKE

GOLF - HENKE TAKES LEAD IN MILWAUKEE , WOODS MAKES PRO DEBUT .


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Wisconsin

MILWAUKEE

MILWAUKEE , Wisconsin 1996-08-29


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Greater Milwaukee Open

Tiger Woods

Nolan Henke

Nolan Henke fired a nine-under-par 62 to grab a two-shot lead after the opening round of the $ 1.2 million Greater Milwaukee Open Thursday as 20-year-old Tiger Woods shot 67 in his professional debut .


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Billy Andrade

Bob Estes

Jesper Parnevik

Duffy Waldorf

Henke

Henke stood two strokes ahead of Bob Estes and three up on Billy Andrade , Duffy Waldorf and Jesper Parnevik .


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U.S. Amateur Championship

Woods

Woods , who turned pro Tuesday after winning an unprecedented third successive U.S. Amateur Championship , almost eagled the 18th hole .


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He settled for a birdie and a four-under opening round that left him five shots off the pace .


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Woods

" Yesterday was the toughest day I 've had for a long time , " Woods said . "


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Today , I got to play golf . "


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He added : " I thought I got off off to a great start .


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It was a perfect start .


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I 'm in a good position . "


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Henke

Henke , who called his round a " pleasant surprise , " finished with six birdies on the final eight holes .


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" We finally got things going in the right direction , " he said . "


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It was my best round in a very long time .


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My short game has improved since I 've had to use it so often .


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That 's always been the worst part of my game .


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All in all , playing bad 's been a good experience . "


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Andrew Magee

PGA Tour

Henke

BellSouth Classic

Henke , who came within one shot of the course record set by Andrew Magee during Wednesday 's pro-am , has three career PGA Tour victories , but none since the 1993 BellSouth Classic .


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Nortel Open

Estes

Texas Open

Estes , whose only win came at the 1994 Texas Open and whose best finish this year was a third-place tie at the Nortel Open in January , eagled the par-five fourth hole and added five birdies to grab sole possession of second place .


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" No bogeys on the card , " he noted . "


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Sometimes I take more pride in that . "


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World Series of Golf

Payne Stewart

U.S. Open

Billy Mayfair

Woods

Woods was among a group of 13 players at four under , including 1993 champion Billy Mayfair , who tied for second at last week 's World Series of Golf , and former U.S. Open champ Payne Stewart .


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Scott Hoch

Defending champion Scott Hoch shot a three-under 68 and was six strokes back .


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Phil Mickelson

World Series of Golf

PGA Tour

Phil Mickelson , the only four-time winner on the PGA Tour , skipped the tournament after winning the World Series of Golf last week .


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Tom Lehman

Mark Brooks

Mark O'Meara

Mark Brooks , Tom Lehman and Mark O'Meara , who make up the rest of the top four on the money list , also took the week off .


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FIFA

SILVA

SOCCER - SILVA 'S `LOST PASSPORT ' EXCUSE NOT ENOUGH FOR FIFA .


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MADRID

MADRID 1996-08-30


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Brazilian

FIFA

Mauro Silva

Spanish

Deportivo Coruna

European

Real Madrid

Spanish first division team Deportivo Coruna will be without key midfielder Mauro Silva for Saturday 's game with Real Madrid after FIFA , soccer 's world governing body , suspended the Brazilian for one game for missing his national side 's European tour .


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Russia

Netherlands

Brazil

Silva

Silva excused his absence from Brazil 's game against Russia , on Wednesday , and Saturday 's match with the Netherlands by saying he had lost his passport .


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But that did not prevent him from collecting the one-match suspension .


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BAILEY

MITCHELL

ATHLETICS - MITCHELL DEFEATS BAILEY IN FRONT OF FORMER CHAMPIONS .


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Adrian Warner

Adrian Warner


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BERLIN

BERLIN 1996-08-30


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American

post-Games

Olympic

Dennis Mitchell

Donovan Bailey

American Dennis Mitchell outclassed Olympic 100 metres champion Donovan Bailey for the third time at a major post-Games meeting in front of the most experienced sprinting crowd in the world on Friday .


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Berlin

Olympic

Bailey

Mitchell

Watched by an array of former Olympic sprint champions at the Berlin grand prix meeting , Mitchell made a brilliant start in the 100 metres and held off Bailey 's strong finish to win in 10.08 seconds despite cool conditions .


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Atlanta

American

Bailey

Bailey , who set a world record of 9.84 on his way to victory in Atlanta , could not catch his American rival and had to settle for third in a tight finish .


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Michael Green

Bailey

Jamaica

Jamaica 's Michael Green was second with 10.09 with Bailey finishing in 10.13 .


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Olympic

Bailey

Mitchell

Atlanta Games

Brussels

Last Friday Mitchell , who finished fourth at the Atlanta Games , upstaged a trio of Olympic champions including Bailey to win the 100 in Brussels .


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Bailey

Zurich

Earlier this month he also beat world champion Bailey in Zurich .


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Golden Four

Brussels

Berlin

Zurich

Berlin , Brussels and Zurich all belong to the most lucrative series in the sport , the Golden Four .


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Olympic

Among the crowd on Friday were Olympic 100 metres champions going back to 1948 .


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Berlin

Jesse Owens

Olympics

They had been invited to the meeting to watch a special relay to mark the 60th anniversary of Jesse Owens 's four gold medals at the 1936 Olympics in the same Berlin stadium .


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Mitchell

" Today the concentration was the most important thing for me , " Mitchell said .


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Jamaican

Merlene Ottey

American Olympic

Gail Devers

Despite the coolish conditions American Olympic champion Gail Devers looked in commanding form in the women 's 100 , clocking 10.89 to defeat Jamaican rival Merlene Ottey , who was second in 10.94 .


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BERLIN GRAND PRIX

ATHLETICS - BERLIN GRAND PRIX RESULTS .


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BERLIN

BERLIN 1996-08-30


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Berlin

Leading results at the Berlin


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Grand Prix

Grand Prix athletics meeting on Friday :


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Women 's 100 metres hurdles


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Michelle Freeman

Jamaica

1. Michelle Freeman ( Jamaica ) 12.71 seconds


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Ludmila Engquist

Sweden

2. Ludmila Engquist ( Sweden ) 12.74


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Aliuska Lopez

Cuba

3. Aliuska Lopez ( Cuba ) 12.92


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Brigita Bokovec

Slovenia

4. Brigita Bokovec ( Slovenia ) 12.92


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Dionne Rose

Jamaica

5. Dionne Rose ( Jamaica ) 12.92


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Julie Baumann

Switzerland

6. Julie Baumann ( Switzerland ) 13.11


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Gillian Russell

Jamaica

7. Gillian Russell ( Jamaica ) 13.17


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Women 's 1,500 metres


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Svetlana Masterkova

Russia

1. Svetlana Masterkova ( Russia ) four minutes 6.87 seconds


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Patricia Djate-Taillard

France

2. Patricia Djate-Taillard ( France ) 4:08.22


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Carla Sacramento

Portugal

3. Carla Sacramento ( Portugal ) 4:08.96


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Yekaterina Podkopayeva

Russia

4. Yekaterina Podkopayeva ( Russia ) 4:09.25


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Leah Pells

Canada

5. Leah Pells ( Canada ) 4:09.95


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Carmen Wuestenhagen

Germany

6. Carmen Wuestenhagen ( Germany ) 4:10.38


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Margarita Maruseva

Russia

7. Margarita Maruseva ( Russia ) 4:10.87


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Sara Thorsett

U.S.

8. Sara Thorsett ( U.S. ) 4:11.06


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Men 's 110 metres hurdles


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Mark Crear

U.S.

1. Mark Crear ( U.S. ) 13.26 seconds


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Tony Jarrett

Britain

2. Tony Jarrett ( Britain ) 13.35


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Florian Schwarthoff

Germany

3. Florian Schwarthoff ( Germany ) 13.36


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Emilio Valle

Cuba

4. Emilio Valle ( Cuba ) 13.52


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Falk Balzer

Germany

5. Falk Balzer ( Germany ) 13.52


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Steve Brown

U.S.

6. Steve Brown ( U.S. ) 13.53


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Frank Busemann

Germany

7. Frank Busemann ( Germany ) 13.58


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Jack Pierce

U.S.

8. Jack Pierce ( U.S. ) 13.60


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Men 's 200 metres


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Frankie Fredericks

Namibia

1. Frankie Fredericks ( Namibia ) 19.97 seconds


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Michael Johnson

U.S.

2. Michael Johnson ( U.S. ) 20.02


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Ato Boldon

Trinidad

3. Ato Boldon ( Trinidad ) 20.37


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Geir Moen

Norway

4. Geir Moen ( Norway ) 20.41


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Patrick Stevens

Belgium

5. Patrick Stevens ( Belgium ) 20.54


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Jon Drummond

U.S.

6. Jon Drummond ( U.S. ) 20.78


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Claus Hirsbro

Denmark

7. Claus Hirsbro ( Denmark ) 20.90


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Ivan Garcia

Cuba

8. Ivan Garcia ( Cuba ) 20.96


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Women 's shot put


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Astrid Kumbernuss

Germany

1. Astrid Kumbernuss ( Germany ) 19.89 metres


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Claudia Mues

Germany

2. Claudia Mues ( Germany ) 18.80


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Irina Korzhanenko

Russia

3. Irina Korzhanenko ( Russia ) 18.63


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Valentina Fedyushina

Russia

4. Valentina Fedyushina ( Russia ) 18.55


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Stephanie Storp

Germany

5. Stephanie Storp ( Germany ) 18.41


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Men 's mile


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Noureddine Morceli

Algeria

1. Noureddine Morceli ( Algeria ) 3 minutes 49.09 seconds


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Venuste Niyongabo

Burundi

2. Venuste Niyongabo ( Burundi ) 3:51.01


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William Tanui

Kenya

3. William Tanui ( Kenya ) 3:51.40


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Laban Rotich

Kenya

4. Laban Rotich ( Kenya ) 3:53.42


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Marko Koers

Netherlands

5. Marko Koers ( Netherlands ) 3:53.47


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Isaac Viciosa

Spain

6. Isaac Viciosa ( Spain ) 3:53.85


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John Mayock

Britain

7. John Mayock ( Britain ) 3:54.67


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Marcus O'Sullivan

Ireland

8. Marcus O'Sullivan ( Ireland ) 3:54.87


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Men 's discus


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Lars Riedel

Germany

1. Lars Riedel ( Germany ) 70.60 metres


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Anthony Washington

U.S.

2. Anthony Washington ( U.S. ) 68.44


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Vasily Kaptyukh

Belarus

3. Vasily Kaptyukh ( Belarus ) 66.24


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Vladimir Dubrovshchik

Belarus

4. Vladimir Dubrovshchik ( Belarus ) 65.30


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Virgilijus Alekna

Lithuania

5. Virgilijus Alekna ( Lithuania ) 65.00


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Juergen Schult

Germany

6. Juergen Schult ( Germany ) 64.46


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Andreas Seelig

Germany

7. Andreas Seelig ( Germany ) 62.00


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Michael Moellenbeck

Germany

8. Michael Moellenbeck ( Germany ) 58.56


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Women 's 100 metres


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Gail Devers

U.S.

1. Gail Devers ( U.S. ) 10.89 seconds


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Merlene Ottey

Jamaica

2. Merlene Ottey ( Jamaica ) 10.94


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Gwen Torrence

U.S.

3. Gwen Torrence ( U.S. ) 11.07


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Mary Onyali

Nigeria

4. Mary Onyali ( Nigeria ) 11.14


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Chryste Gaines

U.S.

5. Chryste Gaines ( U.S. ) 11.20


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Chandra Sturrup

Bahamas

6. Chandra Sturrup ( Bahamas ) 11.26


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Irina Privalova

Russia

7. Irina Privalova ( Russia ) 11.27


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Inger Miller

U.S.

8. Inger Miller ( U.S. ) 11.37


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Women 's 5,000 metres


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Gabriela Szabo

Romania

1. Gabriela Szabo ( Romania ) 15 minutes 04.95 seconds


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Gete Wami

Ethiopia

2. Gete Wami ( Ethiopia ) 15:05.21


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Rose Cheruiyot

Kenya

3. Rose Cheruiyot ( Kenya ) 15:05.41


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Annemari Sandell

Finland

4. Annemari Sandell ( Finland ) 15:06.33


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Tegla Loroupe

Kenya

5. Tegla Loroupe ( Kenya ) 15:08.79


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Gunhild Halle

Norway

6. Gunhild Halle ( Norway ) 15:09.00


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Pauline Konga

Kenya

7. Pauline Konga ( Kenya ) 15:09.74


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Sally Barsosio

Kenya

8. Sally Barsosio ( Kenya ) 15:14.34


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Men 's 400 metres hurdles


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Torrance Zellner

U.S.

1. Torrance Zellner ( U.S. ) 48.23 seconds


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Samuel Matete

Zambia

2. Samuel Matete ( Zambia ) 48.34


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Derrick Adkins

U.S.

3. Derrick Adkins ( U.S. ) 48.62


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Fabrizio Mori

Italy

4. Fabrizio Mori ( Italy ) 49.21


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Sven Nylander

Sweden

5. Sven Nylander ( Sweden ) 49.22


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Eric Thomas

U.S.

6. Eric Thomas ( U.S. ) 49.35


Instruction: Please identify possible entities from the given text and determine their types.

Rohan Robinson

Australia

7. Rohan Robinson ( Australia ) 49.36


Instruction: Would you be able to recognize any entities that might exist in the provided text and categorize them based on their types?

Dusan Kovacs

Hungary

8. Dusan Kovacs ( Hungary ) 49.58


Instruction: Please recognize any possible entities in the given text and categorize them based on their types.

Women 's 400 metres


Instruction: Would you be able to recognize any entities that may be present in the provided text and label them based on their types?

Falilat Ogunkoya

Nigeria

1. Falilat Ogunkoya ( Nigeria ) 50.31 seconds


Instruction: From the provided text, could you identify any entities and classify them based on their respective types?

Jearl Miles

U.S.

2. Jearl Miles ( U.S. ) 50.42


Instruction: Can you detect possible entities in the given text and categorize them based on their types?

Fatima Yusuf

Nigeria

3. Fatima Yusuf ( Nigeria ) 51.43


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Anja Ruecker

Germany

4. Anja Ruecker ( Germany ) 51.61


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Olabisi Afolabi

Nigeria

5. Olabisi Afolabi ( Nigeria ) 51.98


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

Phylis Smith

Britain

6. Phylis Smith ( Britain ) 52.05


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Linda Kisabaka

Germany

7. Linda Kisabaka ( Germany ) 52.41


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

Karin Janke

Germany

8. Karin Janke ( Germany ) 53.13


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

Men 's 100 metres


Instruction: Can you detect any entities that may be present in the given text and classify them based on their types?

Dennis Mitchell

U.S.

1. Dennis Mitchell ( U.S. ) 10.08


Instruction: Please identify any entities in the given text and determine their corresponding types.

Michael Green

Jamaica

2. Michael Green ( Jamaica ) 10.09


Instruction: Can you pinpoint any potential entities in the given text and label them based on their respective types?

Donovan Bailey

Canada

3. Donovan Bailey ( Canada ) 10.13


Instruction: From the provided text, could you pinpoint any potential entities and label them based on their types?

Jon Drummond

U.S.

4. Jon Drummond ( U.S. ) 10.22


Instruction: From the given text, could you pinpoint any possible entities and determine their types?

Davidson Ezinwa

Nigeria

5. Davidson Ezinwa ( Nigeria ) 10.24


Instruction: Please recognize any entities that might exist in the given text and classify them according to their respective types.

Geir Moen

Norway

6. Geir Moen ( Norway ) 10.33


Instruction: Could you identify any entities that might exist in the given text and categorize them based on their respective types?

Marc Blume

Germany

7. Marc Blume ( Germany ) 10.48


Instruction: Could you recognize any possible entities from the provided text and determine their types?

Men 's 800 metres


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

Wilson Kipketer

Denmark

1. Wilson Kipketer ( Denmark ) 1:43.34


Instruction: Would you be able to detect any potential entities in the given text and categorize them based on their types?

Norberto Tellez

Cuba

2. Norberto Tellez ( Cuba ) 1:44.58


Instruction: Please identify any possible entities from the given text and determine their corresponding types.

Sammy Langat

Kenya

3. Sammy Langat ( Kenya ) 1:44.96


Instruction: Please identify any potential entities in the given text and determine their corresponding types.

Nico Motchebon

Germany

4. Nico Motchebon ( Germany ) 1:45.03


Instruction: Please identify any entities that could be present in the given text and classify them according to their types.

David Kiptoo

Kenya

5. David Kiptoo ( Kenya ) 1:45.27


Instruction: Can you identify any entities that could be present in the provided text and classify them according to their types?

Adem Hacini

Algeria

6. Adem Hacini ( Algeria ) 1:45.64