Q37, run 2026-11-04-1825-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. Of 19 rows, E03 duplicates E02 and E17 duplicates E10, as shown by shared LEIs.

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 2 graded by code

17. The file has 19 rows, but E03 duplicates E02 and E17 duplicates E10 (matching LEIs).

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R1 csv run 3 graded by code

17. There are 19 rows, minus E03 (same LEI as E02) and E17 (same LEI as 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 (same LEIs).

JSON: {"count": 17}

Why: count: expected 16, got 17

✅ R5 csv+ontology run 1 graded by code

16. There are 19 records, minus two duplicates (E03 and E17) and the QA record E16.

JSON: {"count": 16}

✅ R5 csv+ontology run 2 graded by code

16. There are 19 records, less the QA record E16, and E03 and E17 duplicate E02 and E10.

JSON: {"count": 16}

✅ R5 csv+ontology run 3 graded by code

16. There are 19 records, less 2 duplicates (E03 and E17) and the QA record E16.

JSON: {"count": 16}

✅ R5 csv+ontology run 4 graded by code

16. There are 19 records. E03 and E17 duplicate E02 and E10 by LEI, and E16 is QA test data.

JSON: {"count": 16}

✅ R5 csv+ontology run 5 graded by code

16. There are 19 records, minus the duplicates E03 and E17 and the QA record E16.

JSON: {"count": 16}

❌ R8 csv+axioms run 1 graded by code

17. The data has 19 records, but E03 duplicates E02 and E17 duplicates E10, since each pair shares an LEI.

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R8 csv+axioms run 2 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

❌ R8 csv+axioms run 3 graded by code

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

JSON: {"count": 17}

Why: count: expected 16, got 17

❌ R8 csv+axioms 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

❌ R8 csv+axioms run 5 graded by code

17. There are 19 records, but E03 duplicates E02 and E17 duplicates E10.

JSON: {"count": 17}

Why: count: expected 16, got 17

✅ R9 csv+axioms+markdown run 1 graded by code

16. There are 19 records. E03 and E17 duplicate other entities, and E16 is QA test data.

JSON: {"count": 16}

❌ R9 csv+axioms+markdown run 2 graded by code

17. There are 19 records, but E03 duplicates E02 and E17 duplicates E10.

JSON: {"count": 17}

Why: count: expected 16, got 17

✅ R9 csv+axioms+markdown run 3 graded by code

16. There are 19 records, E03 and E17 are duplicates by LEI, and the QA record E16 is excluded.

JSON: {"count": 16}

✅ R9 csv+axioms+markdown run 4 graded by code

16. The 19 records collapse to 17 entities because E03 matches E02 and E17 matches E10 by LEI, and I excluded the QA record E16.

JSON: {"count": 16}

✅ R9 csv+axioms+markdown run 5 graded by code

16. There are 19 records. E03 duplicates E02 and E17 duplicates E10, and E16 is a QA test record that describes no real entity.

JSON: {"count": 16}