Step 1: Select rows where 'agriculture' is 54.
| year |
regional_gva |
agriculture |
industry |
services |
| 1995 |
4753 |
11 |
1110 |
3632 |
| 2000 |
6584 |
10 |
1302 |
5277 |
| 2003 |
8201 |
11 |
1374 |
6816 |
| 2005 |
8978 |
11 |
1465 |
7502 |
| 2007 |
9432 |
11 |
1565 |
7856 |
Step 2: Select rows where 'regional_gva' is 6584.
| year |
regional_gva |
agriculture |
industry |
services |
Step 3: Select rows where 'services' is less than 7502.
| year |
regional_gva |
agriculture |
industry |
services |
Step 4: Select rows where 'industry' is less than 1565.
| year |
regional_gva |
agriculture |
industry |
services |
Step 5: Use a `CASE` statement to return TRUE if the number of rows is equal to or greater than 1, otherwise return FALSE.
| year |
regional_gva |
agriculture |
industry |
services |
Final output table:
| verification_result |
| FALSE |
Prediction: FALSE