Table:
Ships sunk or damaged by SM UB-16[10]

Date

Name

Nationality

[Note 11] Tonnage

Fate

3 June 1915

Boy Horace

United Kingdom

69

Sunk

3 June 1915

E&C

United Kingdom

60

Sunk

3 June 1915

Economy

United Kingdom

56

Sunk

12 June 1915

Leuctra

United Kingdom

3,027

Sunk

23 June 1915

Tunisiana

United Kingdom

4,220

Sunk

27 July 1915

Westward Ho!

United Kingdom

47

Sunk

28 July 1915

Mangara

United Kingdom

1,821

Sunk

8 September 1915

Emblem

United Kingdom

50

Sunk

8 September 1915

Victorious

United Kingdom

43

Sunk

10 September 1915

Nimrod

United Kingdom

51

Sunk

18 January 1916

Evelyn

United Kingdom

55

Sunk

18 January 1916

Foam Crest

United Kingdom

46

Sunk

19 January 1916

Sunshine

United Kingdom

52

Sunk

6 March 1916

Springflower

United Kingdom

59

Sunk

6 March 1916

Young Harry

United Kingdom

43

Sunk

1 April 1916

Perth

United Kingdom

653

Sunk

3 April 1916

Elziena Helena

Netherlands

131

Damaged

10 April 1916

Robert Adamson

United Kingdom

2,978

Sunk

22 April 1916

Tregantle

United Kingdom

3,091

Sunk

2 August 1916

John Wilson

Norway

798

Sunk

24 August 1916

Velox

Norway

312

Sunk

20 April 1917

Arie

Netherlands

107

Sunk

26 April 1917

Kongsli[Note 9]

Norway

5,822

Damaged

9 August 1917

HMS Recruit

Royal Navy

1,075

Sunk

13 March 1918

Lisette

United Kingdom

895

Sunk

13 April 1918

Ruth

United Kingdom

44

Sunk

Sunk:
Damaged:
Total:
19,652
5,953
25,605

Can you extract and list the values from these specific rows or columns in the table?
the 6th row
the 25th row
the 5th column
the 15th row
the 27th row

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"]}.

The cell values of target rows or columns are as follows:
For the 6th row: {"row_id": "6", "cell_list": ['23 June 1915', 'Tunisiana', 'United Kingdom', '4,220', 'Sunk']}
For the 25th row: {"row_id": "25", "cell_list": ['9 August 1917', 'HMS Recruit', 'Royal Navy', '1,075', 'Sunk']}
For the 5th column: {"column_id": "5", "cell_list": ['Fate', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Damaged', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Sunk', 'Damaged', 'Sunk', 'Sunk', 'Sunk', '-']}
For the 15th row: {"row_id": "15", "cell_list": ['6 March 1916', 'Springflower', 'United Kingdom', '59', 'Sunk']}
For the 27th row: {"row_id": "27", "cell_list": ['13 April 1918', 'Ruth', 'United Kingdom', '44', 'Sunk']}