Table:
Year

Chassis

Engine

Start

Finish

Team

2001

Dallara

Oldsmobile

11

1

Team Penske

2002

Dallara

Chevrolet

13

1

Team Penske

2003

Dallara

Toyota

1

2

Team Penske

2004

Dallara

Toyota

8

9

Team Penske

2005

Dallara

Toyota

5

9

Team Penske

2006

Dallara

Honda

2

25

Team Penske

2007

Dallara

Honda

1

3

Team Penske

2008

Dallara

Honda

4

4

Team Penske

2009

Dallara

Honda

1

1

Team Penske

2010

Dallara

Honda

1

9

Team Penske

2011

Dallara

Honda

16

17

Team Penske

2012

Dallara

Chevrolet

6

10

Team Penske

2013

Dallara

Chevrolet

8

6

Team Penske

Based on the provided table, please extract the cells' values located at the specified positions, as denoted by row and column indices. Format each cell value as a JSON, using the structure {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
the 1st row and the 4th column
the 6th row and the 4th column
the 14th row and the 1st column
the 3rd row and the 1st column
the 11th row and the 1st column
the 3rd row and the 3rd column
the 13th row and the 6th column

The target cell values are as follows:
{"row_id":"1", "column_id":"4", "cell_value":"Start"}
{"row_id":"6", "column_id":"4", "cell_value":"5"}
{"row_id":"14", "column_id":"1", "cell_value":"2013"}
{"row_id":"3", "column_id":"1", "cell_value":"2002"}
{"row_id":"11", "column_id":"1", "cell_value":"2010"}
{"row_id":"3", "column_id":"3", "cell_value":"Chevrolet"}
{"row_id":"13", "column_id":"6", "cell_value":"Team Penske"}