list of cities in the far east by population
the population of jakarta is larger than the population of beijing .
{'row_1': '4', 'row_2': '7', 'col': '4', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'metropolitan area', 'jakarta'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose metropolitan area record fuzzily matches to jakarta .', 'tostr': 'filter_eq { all_rows ; metropolitan area ; jakarta }'}, 'population'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; metropolitan area ; jakarta } ; population }', 'tointer': 'select the rows whose metropolitan area record fuzzily matches to jakarta . take the population record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'metropolitan area', 'beijing'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose metropolitan area record fuzzily matches to beijing .', 'tostr': 'filter_eq { all_rows ; metropolitan area ; beijing }'}, 'population'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; metropolitan area ; beijing } ; population }', 'tointer': 'select the rows whose metropolitan area record fuzzily matches to beijing . take the population record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; metropolitan area ; jakarta } ; population } ; hop { filter_eq { all_rows ; metropolitan area ; beijing } ; population } } = true', 'tointer': 'select the rows whose metropolitan area record fuzzily matches to jakarta . take the population record of this row . select the rows whose metropolitan area record fuzzily matches to beijing . take the population record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; metropolitan area ; jakarta } ; population } ; hop { filter_eq { all_rows ; metropolitan area ; beijing } ; population } } = true
select the rows whose metropolitan area record fuzzily matches to jakarta . take the population record of this row . select the rows whose metropolitan area record fuzzily matches to beijing . take the population record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'metropolitan area_7': 'metropolitan area', 'jakarta_8': 'jakarta', 'population_9': 'population', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'metropolitan area_11': 'metropolitan area', 'beijing_12': 'beijing', 'population_13': 'population'}
['rank', 'metropolitan area', 'country', 'population', 'area ( km square )', 'population density ( people / km square )']
[['1', 'tokyo', 'japan', '32450000', '8014', '4049'], ['2', 'seoul', 'south korea', '20550000', '5076', '4048'], ['3', 'mumbai ( bombay )', 'india', '20900000', '8100', '7706'], ['4', 'jakarta', 'indonesia', '18900000', '5100', '3706'], ['5', 'shanghai', 'china', '16650000', '5177', '3216'], ['7', 'hong kong - shenzhen', 'hong kong china', '15800000', '3051', '5179'], ['8', 'beijing', 'china', '12500000', '6562', '1905']]