Plan-of-SQLs (Ours)

Statement: the gap between first and last was less than 50 points

Ground-truth: FALSE

Input Table: 1976 world junior figure skating championships

Step 1: Select rows where 'points' is not null.
rank name nation sp___fs points places
1 mark cockerell united states 1 172.42 11.0
2 takashi mura japan 2 165.7 24.0
3 brian pockar canada 3 166.62 23.0
4 norbert schramm west germany 4 159.8 40.0
5 andrew bestwick united kingdom 5 158.1 48.0
6 stephan bril west germany 7 155.72 57.0
7 patrice macrez france 6 151.76 71.0
8 pierre lamine france 8 150.5 79.0
9 shinji someya japan 10 150.34 74.5
10 jozef sabovčík czechoslovakia 9 148.88 87.0
11 daniel fuerer switzerland 13 146.18 92.5
12 gerald schranz austria 11 143.04 102.0
13 helmut kristofics - binder austria 15 137.32 123.0
14 michael pasfield australia 12 136.6 119.0
15 francis demarteau belgium 14 131.02 140.0
16 adrian vasile romania 16 127.74 143.0
17 miljan begovic yugoslavia 17 127.3 143.0
18 jeremy dowson south africa 18 114.98 166.0
19 marc franquet belgium 19 114.38 167.0
Step 2: Cast to FLOAT and order the table by 'points' in descending order and select the first row.
rank name nation sp___fs points places
1 mark cockerell united states 1 172.42 11.0
2 takashi mura japan 2 165.7 24.0
3 brian pockar canada 3 166.62 23.0
4 norbert schramm west germany 4 159.8 40.0
5 andrew bestwick united kingdom 5 158.1 48.0
6 stephan bril west germany 7 155.72 57.0
7 patrice macrez france 6 151.76 71.0
8 pierre lamine france 8 150.5 79.0
9 shinji someya japan 10 150.34 74.5
10 jozef sabovčík czechoslovakia 9 148.88 87.0
11 daniel fuerer switzerland 13 146.18 92.5
12 gerald schranz austria 11 143.04 102.0
13 helmut kristofics - binder austria 15 137.32 123.0
14 michael pasfield australia 12 136.6 119.0
15 francis demarteau belgium 14 131.02 140.0
16 adrian vasile romania 16 127.74 143.0
17 miljan begovic yugoslavia 17 127.3 143.0
18 jeremy dowson south africa 18 114.98 166.0
19 marc franquet belgium 19 114.38 167.0
Step 3: Select rows where 'points' is not null.
rank name nation sp___fs points places float_points
1 mark cockerell united states 1 172.42 11.0 172.42
Step 4: Cast to FLOAT and order the table by 'points' in ascending order and select the first row.
rank name nation sp___fs points places float_points
1 mark cockerell united states 1 172.42 11.0 172.42
Step 5: Calculate the difference between the points of the first and last rows.
rank name nation sp___fs points places float_points
1 mark cockerell united states 1 172.42 11.0 172.42
Step 6: Use a `CASE` statement to return TRUE if the difference is less than 50, otherwise return FALSE.
point_difference
0.0
Final output table:
verification_result
TRUE

Prediction: TRUE

Ground-truth: FALSE