Table:
Year
Competition
Venue
Position
Event
Notes

Representing Great Britain / England

1978

Commonwealth Games

Edmonton, Canada

1st

3000 m

9:12.95

European Championships

Prague, Czechoslovakia

8th

3000 m

8:48.74

1979

World Cross Country Championships

Limerick, Ireland

17th

5.0 km

17:58

1981

World Cross Country Championships

Madrid, Spain

28th

4.4 km

15:02

1982

European Indoor Championships

Milan, Italy

3rd

3000 m

8:56.96

World Cross Country Championships

Rome, Italy

14th

4.7 km

15:03

1985

World Cross Country Championships

Lisbon, Portugal

56th

5.0 km

16:22

Columbus Marathon

Columbus, Ohio, United States

1st

Marathon

2:35:10

World Road Race Championships

Gateshead, United Kingdom

5th

15 km

50:36

1986

London Marathon

London, England

5th

Marathon

2.32.25

World Road Race Championships

Lisbon, Portugal

20th

15 km

50:51

1987

Reading Half Marathon

Reading, England

1st

Half marathon

1:12:45[7]

London Marathon

London, England

4th

Marathon

2:32:28

Greifenseelauf

Canton of Zürich, Switzerland

1st

19.5 km

1:09:35

World Championships

Rome, Italy

17th

Marathon

2:42:42

World Road Race Championships

Monte Carlo, Monaco

8th

15 km

49:43

1988

Chicago Marathon

Chicago, United States

3rd

Marathon

2:29:47

row 2,
row 11,
row 15,
row 6,
column 3,
Extract the contents of cells in the above rows or columns, identified by row or column indices. Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.

The extracted row or column contents are listed below.
For row 2: {"row_id": "2", "cell_list": ['Representing Great Britain / England', 'Representing Great Britain / England', 'Representing Great Britain / England', 'Representing Great Britain / England', 'Representing Great Britain / England', 'Representing Great Britain / England']}
For row 11: {"row_id": "11", "cell_list": ['1985', 'World Road Race Championships', 'Gateshead, United Kingdom', '5th', '15 km', '50:36']}
For row 15: {"row_id": "15", "cell_list": ['1987', 'London Marathon', 'London, England', '4th', 'Marathon', '2:32:28']}
For row 6: {"row_id": "6", "cell_list": ['1981', 'World Cross Country Championships', 'Madrid, Spain', '28th', '4.4 km', '15:02']}
For column 3: {"column_id": "3", "cell_list": ['Venue', 'Representing Great Britain / England', 'Edmonton, Canada', 'Prague, Czechoslovakia', 'Limerick, Ireland', 'Madrid, Spain', 'Milan, Italy', 'Rome, Italy', 'Lisbon, Portugal', 'Columbus, Ohio, United States', 'Gateshead, United Kingdom', 'London, England', 'Lisbon, Portugal', 'Reading, England', 'London, England', 'Canton of Zürich, Switzerland', 'Rome, Italy', 'Monte Carlo, Monaco', 'Chicago, United States']}