Table:
Club

Season

League

Cup

Continental

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Ajax
1992–93
Eredivisie

12
1
3
0
3
0
18
1

1993–94

19
4
3
0
2
0
24
4

1994–95

34
6
3
0
11
0
48
6

Total

65
11
9
0
16
0
90
11

Sampdoria
1995–96
Serie A

32
3
2
1
–
34
4

Total

32
3
2
1
–
34
4

Real Madrid
1996–97
La Liga

38
6
4
0
–
42
6

1997–98

36
6
2
1
11
0
49
7

1998–99

37
3
5
1
10
3
52
7

1999–2000

10
0
0
0
6
0
16
0

Total

121
15
11
2
27
3
159
20

Inter Milan
1999–2000
Serie A

20
3
5
2
0
0
25
5

2000–01

24
2
5
0
7
3
36
5

2001–02

20
3
2
1
10
0
32
4

Total

64
8
12
3
17
3
93
14

Milan
2002–03
Serie A

29
4
3
2
16
1
48
7

2003–04

29
3
6
0
10
0
45
3

2004–05

32
5
4
1
13
1
49
7

2005–06

36
4
2
1
11
1
49
6

2006–07

32
7
5
0
14
3
51
10

2007–08

32
7
0
0
10
3
42
10

2008–09

33
6
1
0
7
0
41
6

2009–10

29
5
0
0
8
1
37
6

2010–11

30
4
2
0
8
0
40
4

2011–12

18
2
3
1
8
0
29
3

Total

300
48
26
5
105
10
431
63

Botafogo
2012
Série A

24
8
0
0
0
0
24
8

2013

34
8
0
0
1
1
35
9

Total

58
16
0
0
1
1
59
17

Career total

640
100
69
11
166
17
875
128

Examine the given table and identify the contents of cells located at specified locations, denoted by row and column indices. Represent each cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}. For instance, {"row_id":"5", "column_id":"4", "cell_value":"missouri 4"}.
Specified positions:
row 17 and column 2
row 24 and column 2
row 31 and column 2
row 9 and column 5
row 12 and column 2
row 7 and column 4
row 17 and column 11

The target cell values are as follows:
{"row_id":"17", "column_id":"2", "cell_value":"total"}
{"row_id":"24", "column_id":"2", "cell_value":"2008-09"}
{"row_id":"31", "column_id":"2", "cell_value":"total"}
{"row_id":"9", "column_id":"5", "cell_value":"6"}
{"row_id":"12", "column_id":"2", "cell_value":"1999-2000"}
{"row_id":"7", "column_id":"4", "cell_value":"32"}
{"row_id":"17", "column_id":"11", "cell_value":"14"}