Table:
Name

Locomotive Class

Type

Max. Recorded Speed (mph (km/h))

Max. Design Speed (mph (km/h))

Max. Speed in UK service (mph (km/h))

Eurostar e320

Class 374

EMU

219 (352)

199 (320)

186 (300)

Eurostar

Class 373

EMU

209 (334.7)

186 (300)

186 (300)

Javelin

Class 395

EMU

157 (252)[17]

140 (225)

140 (225)

Super Express

Class 800

DEMU

none set

140 (225)

125 (200)

InterCity 225

Class 91

Electric Loco

162 (261)

140 (225)

125 (200)

Pendolino

Class 390

EMU

162 (261)[18]

140 (225)

125 (200)

InterCity 125

Class 43 (HST)

Diesel Loco

148 (238)

125 (200)

125 (200)

Adelante

Class 180

DMU

125 (200)

125 (200)

125 (200)

Voyager

Class 220

DEMU

125 (200)

125 (200)

125 (200)

Super Voyager

Class 221

DEMU

125 (200)

125 (200)

125 (200)

Meridian/Pioneer

Class 222

DEMU

125 (200)

125 (200)

125 (200)

row 6 and column 3
row 5 and column 4
row 3 and column 6
row 11 and column 5
row 3 and column 5
row 7 and column 1
Extract the contents of cells in the above positions, identified by row and column indices. Show the cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The target cell values are as follows:
{"row_id":"6", "column_id":"3", "cell_value":"Electric Loco"}
{"row_id":"5", "column_id":"4", "cell_value":"none set"}
{"row_id":"3", "column_id":"6", "cell_value":"186 (300)"}
{"row_id":"11", "column_id":"5", "cell_value":"125 (200)"}
{"row_id":"3", "column_id":"5", "cell_value":"186 (300)"}
{"row_id":"7", "column_id":"1", "cell_value":"Pendolino"}