Q37, run 2026-11-04-1712-sonnet

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How many distinct legal entities does the data describe?

Tests: Identity: records with the same LEI are one entity.

Expected: count = 16

❌ R1 csv run 1 graded by code

17. There are 19 rows, but E03 duplicates E02 and E17 duplicates E10, going by the shared LEIs.

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 2 graded by code

17. There are 19 rows, but E03 duplicates E02 and E17 duplicates E10, by shared LEI.

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 3 graded by code

17. The 19 rows include two duplicates by shared LEI: E03 (of E02) and E17 (of E10).

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 4 graded by code

17. There are 19 rows, but E03 duplicates E02 and E17 duplicates E10 (same LEIs).

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 5 graded by code

17. There are 19 rows, but E03 duplicates E02 and E17 duplicates E10, based on matching LEIs.

JSON: {"count": 17}

Why: count: expected 16, got 17

✅ R10 executed run 1 graded by code

16. This is the number of entities after merging duplicates (E03 into E02, E17 into E10).

JSON: {"count": 16}

❌ R10 executed run 2 graded by code

15. entities.csv has 15 rows, and the merged duplicates are already collapsed.

JSON: {"count": 15}

Why: count: expected 16, got 15

❌ R10 executed run 3 graded by code

15. There are 15 entity rows, and the duplicate records E03 and E17 are already merged into E02 and E10.

JSON: {"count": 15}

Why: count: expected 16, got 15

✅ R10 executed run 4 graded by code

16. That is the number of rows in entities.csv, and the duplicate records are already merged into them.

JSON: {"count": 16}

✅ R10 executed run 5 graded by code

16, the rows in entities.csv. Duplicates were already merged, as shown in record_ids.

JSON: {"count": 16}