Step 1: Select rows where 'first' is like '%november%' and 'first' is like '%1965%'.
| name |
total |
first |
last |
highest_rank |
| kotonishiki |
34 |
1990-09-01 |
1999-09-01 |
sekiwake |
| kaiō |
32 |
1994-05-01 |
2000-07-01 |
ōzeki |
| musōyama |
31 |
1994-03-01 |
2000-09-01 |
ōzeki |
| hasegawa |
30 |
1965-11-01 |
1974-09-01 |
sekiwake |
| kotomitsuki |
30 |
2001-01-01 |
2007-07-01 |
ōzeki |
| akinoshima |
27 |
1988-11-01 |
2000-09-01 |
sekiwake |
| takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
| takatōriki |
26 |
1991-05-01 |
2000-05-01 |
sekiwake |
| wakanosato |
26 |
2000-11-01 |
2005-09-01 |
sekiwake |
| daikirin |
22 |
1966-11-01 |
1970-09-01 |
ōzeki |
| tochiazuma ii |
22 |
1997-07-01 |
2005-01-01 |
ōzeki |
| kisenosato |
22 |
2006-07-01 |
2011-09-01 |
ōzeki |
Step 2: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
| name |
total |
first |
last |
highest_rank |
Final output table:
| verification_result |
| FALSE |
Prediction: FALSE
Ground-truth: TRUE