Table:
Builder

Works numbers

Dates

CN numbers

GT numbers

Notes[1]

MLW

39548-39562
40583-40622

1906

2525-2566
2663

651-705

MLW

42331-42345
43150-43164

1907

2577-2605
2661-2662
2685

721-750

ALCO

42046-42060
43540-43554

1907

2567-2576
2606-2615
2664-2665
2669-2676

706-720
752
755
758
761
763

MLW

45163-45182

1908

2627-2646

631-650

MLW

46880-46894

1910

2647-2660
2686

616-630

ALCO

49663-49674

1911

2616-2625
2677-2678

766-777

built at ALCO's Brooks Works

ALCO

50472-50481

1911

2626
2666-2668
2679-2684

779-780
784
786-787

Inspect the given table and provide the contents of specific rows or columns. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Needed rows or columns:
the 2nd row,
the 5th column,

The extracted row or column contents are listed below.
For the 2nd row: {"row_id": "2", "cell_list": ['MLW', '39548-39562\\n40583-40622', '1906', '2525-2566\\n2663', '651-705', '']}
For the 5th column: {"column_id": "5", "cell_list": ['GT numbers', '651-705', '721-750', '706-720\\n752\\n755\\n758\\n761\\n763', '631-650', '616-630', '766-777', '779-780\\n784\\n786-787']}