Table:
name	location	years as tallest	height metres / ft	floors

white tower	tower hill	1098 - 1310	01.0 27 / 90	03.0 n / a

old st paul 's cathedral	city of london	1310 - 1666	07.0 150 / 493	08.0 n / a

southwark cathedral	southwark	1666 - 1677	02.0 50 / 163	04.0 n / a

monument to the great fire of london	city of london	1677 - 1683	03.0 62 / 202	05.0 n / a

st mary - le - bow	city of london	1683 - 1710	04.0 72 / 236	06.0 n / a

st paul 's cathedral	city of london	1710 - 1939	05.0 111 / 365	07.0 n / a

battersea power station	kirtling street	1939 - 1950	06.0 113 / 370	01.0 10

crystal palace transmitting station	crystal palace park	1950 - 1991	08.0 219 / 720	09.0 n / a

one canada square	canary wharf	1991 - 2010	09.0 235 / 771	02.0 50

shard london bridge	southwark	2010-	306 / 1004	87

Inspect the given table and provide the values of cells found at the specified positions, determined by row and column indices. Output each cell content as JSON in the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.
Positions:
row 9 and column 4,
row 3 and column 4,
row 11 and column 1,
row 7 and column 3,
row 10 and column 3,
row 4 and column 5,
row 3 and column 5,
row 3 and column 1,
row 9 and column 5,

The target cell values are as follows:
{"row_id":"9", "column_id":"4", "cell_value":"08.0 219 / 720"}
{"row_id":"3", "column_id":"4", "cell_value":"07.0 150 / 493"}
{"row_id":"11", "column_id":"1", "cell_value":"shard london bridge"}
{"row_id":"7", "column_id":"3", "cell_value":"1710 - 1939"}
{"row_id":"10", "column_id":"3", "cell_value":"1991 - 2010"}
{"row_id":"4", "column_id":"5", "cell_value":"04.0 n / a"}
{"row_id":"3", "column_id":"5", "cell_value":"08.0 n / a"}
{"row_id":"3", "column_id":"1", "cell_value":"old st paul 's cathedral"}
{"row_id":"9", "column_id":"5", "cell_value":"09.0 n / a"}