Plan-of-SQLs (Ours)

Statement: the lions finished with a record of 4 wins and 8 losses

Ground-truth: FALSE

Input Table: 1976 detroit lions season

Step 1: Select rows where 'result' contains 'w' (indicating a win).
week date opponent result attendance
1 1976-09-12 chicago bears l 10 - 3 54125
2 1976-09-19 atlanta falcons w 24 - 10 50840
3 1976-09-26 minnesota vikings l 10 - 9 77292
4 1976-10-03 green bay packers l 24 - 14 55041
5 1976-10-10 new england patriots w 30 - 10 60174
6 1976-10-17 washington redskins l 20 - 7 45908
7 1976-10-24 seattle seahawks w 41 - 14 61280
8 1976-10-31 green bay packers w 27 - 6 74992
9 1976-11-07 minnesota vikings l 31 - 23 46735
10 1976-11-14 new orleans saints l 17 - 16 42048
11 1976-11-21 chicago bears w 14 - 10 78042
12 1976-11-25 buffalo bills w 27 - 14 66875
13 1976-12-05 new york giants l 24 - 10 66069
14 1976-12-11 los angeles rams l 20 - 17 73470
Step 2: Count the number of rows from the previous step and add column 'num_wins' to the existing table.
week date opponent result attendance
2 1976-09-19 atlanta falcons w 24 - 10 50840
5 1976-10-10 new england patriots w 30 - 10 60174
7 1976-10-24 seattle seahawks w 41 - 14 61280
8 1976-10-31 green bay packers w 27 - 6 74992
11 1976-11-21 chicago bears w 14 - 10 78042
12 1976-11-25 buffalo bills w 27 - 14 66875
Step 3: Select rows where 'num_wins' is equal to 4.
week date opponent result attendance num_wins
2 1976-09-19 atlanta falcons w 24 - 10 50840 6
5 1976-10-10 new england patriots w 30 - 10 60174 6
7 1976-10-24 seattle seahawks w 41 - 14 61280 6
8 1976-10-31 green bay packers w 27 - 6 74992 6
11 1976-11-21 chicago bears w 14 - 10 78042 6
12 1976-11-25 buffalo bills w 27 - 14 66875 6
Step 4: Select rows where 'result' contains 'l' (indicating a loss).
week date opponent result attendance num_wins
Step 5: Count the number of rows from the previous step and add column 'num_losses' to the existing table.
week date opponent result attendance num_wins
Step 6: Select rows where 'num_losses' is equal to 8.
num_losses
0
Step 7: Use a `CASE` statement to return TRUE if the number of rows from step 3 is equal to 1 and the number of rows from step 6 is equal to 1, otherwise return FALSE.
num_losses
Final output table:
verification_result
FALSE

Prediction: FALSE

Ground-truth: FALSE