Table:
Grp

Race Name

Age

Sex

Weight

Distance

Date

2

AJC Challenge Stakes

Open

Open

wfa

1000

March

2

Surround Stakes

3YO

Fillies

sw

1400

March

2

Warwick Stakes

Open

Open

wfa

1400

August

3

Liverpool City Cup

Open

Open

qlty

1300

March

3

Silver Shadow Stakes

3YO

Fillies

swp

1200

August

3

Up And Coming Stakes

3YO

C&G

swp

1200

August

Examine the given table and extract the contents of in the specific rows or columns, denoted 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"]}.
Specified rows or columns:
the 5th column,
the 6th column,
the 4th column,
the 5th row,

The cell values of target rows or columns are as follows:
For the 5th column: {"column_id": "5", "cell_list": ['Weight', 'wfa', 'sw', 'wfa', 'qlty', 'swp', 'swp']}
For the 6th column: {"column_id": "6", "cell_list": ['Distance', '1000', '1400', '1400', '1300', '1200', '1200']}
For the 4th column: {"column_id": "4", "cell_list": ['Sex', 'Open', 'Fillies', 'Open', 'Open', 'Fillies', 'C&G']}
For the 5th row: {"row_id": "5", "cell_list": ['3', 'Liverpool City Cup', 'Open', 'Open', 'qlty', '1300', 'March']}