Statement: the combined runs on september 1 was the lowest of any game that month

Input Table: 1997 toronto blue jays season

Step 1: Select rows where the 'date' is in September.
date opponent score loss attendance record
9999-09-01 mets 3 - 0 hentgen (14 - 9) 19196 65 - 71
9999-09-02 mets 8 - 5 clemens (20 - 5) 17635 65 - 72
9999-09-03 mets 4 - 2 quantrill (6 - 6) 14513 65 - 73
9999-09-04 rangers 6 - 2 carpenter (1 - 7) 26178 65 - 74
9999-09-05 rangers 5 - 1 pavlik (2 - 4) 27121 66 - 74
9999-09-06 rangers 2 - 1 burkett (7 - 12) 31232 67 - 74
9999-09-07 rangers 4 - 0 oliver (11 - 11) 30212 68 - 74
9999-09-08 angels 12 - 10 james (4 - 5) 25775 69 - 74
9999-09-09 angels 2 - 0 hill (7 - 12) 25674 70 - 74
9999-09-10 athletics 3 - 2 plesac (1 - 4) 4764 70 - 75
9999-09-11 athletics 8 - 7 escobar (2 - 1) 6135 70 - 76
9999-09-12 mariners 7 - 3 clemens (21 - 6) 37044 70 - 77
9999-09-13 mariners 6 - 3 ayala (10 - 5) 51631 71 - 77
9999-09-14 mariners 3 - 2 risley (0 - 1) 45477 71 - 78
9999-09-15 mariners 7 - 3 williams (8 - 14) 41684 71 - 79
9999-09-17 red sox 4 - 3 quantrill (6 - 7) 23648 71 - 80
9999-09-18 red sox 3 - 2 escobar (3 - 2) 27990 71 - 81
9999-09-19 yankees 3 - 0 gooden (8 - 5) 31195 72 - 81
9999-09-20 yankees 4 - 3 (11) janzen (1 - 1) 38332 72 - 82
9999-09-21 yankees 5 - 4 (10) almanzar (0 - 1) 40038 72 - 83
9999-09-22 yankees 8 - 1 hentgen (15 - 10) 23380 72 - 84
9999-09-23 orioles 3 - 2 clemens (21 - 7) 29276 72 - 85
9999-09-24 orioles 9 - 3 daal (1 - 1) 27443 72 - 86
9999-09-25 orioles 4 - 3 mussina (15 - 8) 28324 73 - 86
9999-09-26 red sox 3 - 0 henry (7 - 3) 34155 74 - 86
9999-09-27 red sox 12 - 5 corsi (5 - 3) 37401 75 - 86
9999-09-28 red sox 3 - 2 gordon (6 - 10) 40251 76 - 86

Step 2: Extract the numerical runs from the 'score' column by identifying the number before '-' to add column 'runs' to existing table.
date opponent score loss attendance record
9999-09-01 mets 3 - 0 hentgen (14 - 9) 19196 65 - 71
9999-09-02 mets 8 - 5 clemens (20 - 5) 17635 65 - 72
9999-09-03 mets 4 - 2 quantrill (6 - 6) 14513 65 - 73
9999-09-04 rangers 6 - 2 carpenter (1 - 7) 26178 65 - 74
9999-09-05 rangers 5 - 1 pavlik (2 - 4) 27121 66 - 74
9999-09-06 rangers 2 - 1 burkett (7 - 12) 31232 67 - 74
9999-09-07 rangers 4 - 0 oliver (11 - 11) 30212 68 - 74
9999-09-08 angels 12 - 10 james (4 - 5) 25775 69 - 74
9999-09-09 angels 2 - 0 hill (7 - 12) 25674 70 - 74
9999-09-10 athletics 3 - 2 plesac (1 - 4) 4764 70 - 75
9999-09-11 athletics 8 - 7 escobar (2 - 1) 6135 70 - 76
9999-09-12 mariners 7 - 3 clemens (21 - 6) 37044 70 - 77
9999-09-13 mariners 6 - 3 ayala (10 - 5) 51631 71 - 77
9999-09-14 mariners 3 - 2 risley (0 - 1) 45477 71 - 78
9999-09-15 mariners 7 - 3 williams (8 - 14) 41684 71 - 79
9999-09-17 red sox 4 - 3 quantrill (6 - 7) 23648 71 - 80
9999-09-18 red sox 3 - 2 escobar (3 - 2) 27990 71 - 81
9999-09-19 yankees 3 - 0 gooden (8 - 5) 31195 72 - 81
9999-09-20 yankees 4 - 3 (11) janzen (1 - 1) 38332 72 - 82
9999-09-21 yankees 5 - 4 (10) almanzar (0 - 1) 40038 72 - 83
9999-09-22 yankees 8 - 1 hentgen (15 - 10) 23380 72 - 84
9999-09-23 orioles 3 - 2 clemens (21 - 7) 29276 72 - 85
9999-09-24 orioles 9 - 3 daal (1 - 1) 27443 72 - 86
9999-09-25 orioles 4 - 3 mussina (15 - 8) 28324 73 - 86
9999-09-26 red sox 3 - 0 henry (7 - 3) 34155 74 - 86
9999-09-27 red sox 12 - 5 corsi (5 - 3) 37401 75 - 86
9999-09-28 red sox 3 - 2 gordon (6 - 10) 40251 76 - 86

Step 3: Cast to INT and order the table by 'runs' in ascending order and select the first row.
date opponent score loss attendance record runs
9999-09-01 mets 3 - 0 hentgen (14 - 9) 19196 65 - 71 3
9999-09-02 mets 8 - 5 clemens (20 - 5) 17635 65 - 72 8
9999-09-03 mets 4 - 2 quantrill (6 - 6) 14513 65 - 73 4
9999-09-04 rangers 6 - 2 carpenter (1 - 7) 26178 65 - 74 6
9999-09-05 rangers 5 - 1 pavlik (2 - 4) 27121 66 - 74 5
9999-09-06 rangers 2 - 1 burkett (7 - 12) 31232 67 - 74 2
9999-09-07 rangers 4 - 0 oliver (11 - 11) 30212 68 - 74 4
9999-09-08 angels 12 - 10 james (4 - 5) 25775 69 - 74 12
9999-09-09 angels 2 - 0 hill (7 - 12) 25674 70 - 74 2
9999-09-10 athletics 3 - 2 plesac (1 - 4) 4764 70 - 75 3
9999-09-11 athletics 8 - 7 escobar (2 - 1) 6135 70 - 76 8
9999-09-12 mariners 7 - 3 clemens (21 - 6) 37044 70 - 77 7
9999-09-13 mariners 6 - 3 ayala (10 - 5) 51631 71 - 77 6
9999-09-14 mariners 3 - 2 risley (0 - 1) 45477 71 - 78 3
9999-09-15 mariners 7 - 3 williams (8 - 14) 41684 71 - 79 7
9999-09-17 red sox 4 - 3 quantrill (6 - 7) 23648 71 - 80 4
9999-09-18 red sox 3 - 2 escobar (3 - 2) 27990 71 - 81 3
9999-09-19 yankees 3 - 0 gooden (8 - 5) 31195 72 - 81 3
9999-09-20 yankees 4 - 3 (11) janzen (1 - 1) 38332 72 - 82 4
9999-09-21 yankees 5 - 4 (10) almanzar (0 - 1) 40038 72 - 83 5
9999-09-22 yankees 8 - 1 hentgen (15 - 10) 23380 72 - 84 8
9999-09-23 orioles 3 - 2 clemens (21 - 7) 29276 72 - 85 3
9999-09-24 orioles 9 - 3 daal (1 - 1) 27443 72 - 86 9
9999-09-25 orioles 4 - 3 mussina (15 - 8) 28324 73 - 86 4
9999-09-26 red sox 3 - 0 henry (7 - 3) 34155 74 - 86 3
9999-09-27 red sox 12 - 5 corsi (5 - 3) 37401 75 - 86 12
9999-09-28 red sox 3 - 2 gordon (6 - 10) 40251 76 - 86 3

Step 4: Select rows where 'date' is '9999-09-01'.
date opponent score loss attendance record runs int_runs
9999-09-06 rangers 2 - 1 burkett (7 - 12) 31232 67 - 74 2 2

Step 5: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
date opponent score loss attendance record runs int_runs

Final output table:
verification_result
FALSE

Prediction: FALSE