Q43, run 2026-11-04-1711-sonnet

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How many distinct entities are domiciled in Luxembourg (LU)?

Tests: Local rule: the RESEARCH record's country is overruled by the RATINGS record's.

Expected: count = 0

✅ R1 csv run 1 graded by code

0. The only LU record is the duplicate E17, which I treated as E10 (DE).

JSON: {"count": 0}

✅ R1 csv run 2 graded by code

0. The only LU record, E17, duplicates E10, which is domiciled in DE.

JSON: {"count": 0}

✅ R1 csv run 3 graded by code

0. The only LU record is E17, a duplicate of E10, whose primary record says DE. This is ambiguous, and counting E17 on its own would give 1.

JSON: {"count": 0}

✅ R1 csv run 4 graded by code

0. The only LU record is E17, a RESEARCH duplicate of E10 (DE), so it is not a distinct entity. If you took that record at face value the count would be 1.

JSON: {"count": 0}

✅ R1 csv run 5 graded by code

0. The only LU record, E17, is a duplicate of the German E10. If E17's country were trusted, the count would be 1.

JSON: {"count": 0}

✅ R2 rdf run 1 graded by code

0. The only LU record is E17, which duplicates E10 (DE). If you trust the E17 record, the answer would be 1.

JSON: {"count": 0}

✅ R2 rdf run 2 graded by code

0. The only LU record, E17, duplicates E10, which is recorded as DE. If E17 is counted as its own entity, the answer is 1.

JSON: {"count": 0}

✅ R2 rdf run 3 graded by code

0. The only LU record is E17, which is a duplicate of E10 (DE). Counting the record as written would give 1.

JSON: {"count": 0}

❌ R2 rdf run 4 graded by code

1, counting E17. If E17 is the same entity as E10, which says DE, the answer is uncertain.

JSON: {"count": 1}

Why: count: expected 0, got 1

✅ R2 rdf run 5 graded by code

0. E17 is the only LU record, and it duplicates E10, which is domiciled in DE. Counting raw records it would be 1.

JSON: {"count": 0}

✅ R6 rdf+ontology run 1 graded by code

0. The only LU record is E17, which is E10, domiciled in DE.

JSON: {"count": 0}

✅ R6 rdf+ontology run 2 graded by code

0. The only LU record, E17, is the same entity as E10, which RATINGS places in DE.

JSON: {"count": 0}

✅ R6 rdf+ontology run 3 graded by code

0. The only LU record is E17, which is E10, and RATINGS says E10 is in DE.

JSON: {"count": 0}

✅ R6 rdf+ontology run 4 graded by code

0. The only LU record is E17, which is E10, and the RATINGS record says DE.

JSON: {"count": 0}

✅ R6 rdf+ontology run 5 graded by code

0. The only LU record is E17, a duplicate of E10, and RATINGS records E10 as DE.

JSON: {"count": 0}

✅ R5 csv+ontology run 1 graded by code

0. The only LU record is E17, a RESEARCH duplicate of E10 whose RATINGS country is DE.

JSON: {"count": 0}

✅ R5 csv+ontology run 2 graded by code

0. The only LU record is E17, and RATINGS says DE for that entity.

JSON: {"count": 0}

✅ R5 csv+ontology run 3 graded by code

0. The only LU record is E17, and RATINGS says that entity is in DE.

JSON: {"count": 0}

✅ R5 csv+ontology run 4 graded by code

0. The only LU record is E17, which is a RESEARCH duplicate of E10 (DE in RATINGS).

JSON: {"count": 0}

✅ R5 csv+ontology run 5 graded by code

0. The only LU record is E17, which is a RESEARCH duplicate of E10 (DE).

JSON: {"count": 0}

✅ R4 csv+markdown run 1 graded by code

0. The only LU record is E17, which is the same entity as E10, and the RATINGS record gives DE.

JSON: {"count": 0}

✅ R4 csv+markdown run 2 graded by code

0. The only LU record is E17, and RATINGS says DE for that entity.

JSON: {"count": 0}

✅ R4 csv+markdown run 3 graded by code

0. The only LU record is E17, and RATINGS holds for that entity, which makes it DE.

JSON: {"count": 0}

✅ R4 csv+markdown run 4 graded by code

0. The only LU record is E17, and the RATINGS record for that entity says DE.

JSON: {"count": 0}

✅ R4 csv+markdown run 5 graded by code

0. The only LU record is E17, which is the same entity as E10 (DE per RATINGS).

JSON: {"count": 0}

✅ R3 csv+padding run 1 graded by code

0. The only LU record is E17, a duplicate of the German E10.

JSON: {"count": 0}

✅ R3 csv+padding run 2 graded by code

0. The only LU record is E17, a duplicate of the DE-domiciled E10.

JSON: {"count": 0}

✅ R3 csv+padding run 3 graded by code

0. The only LU record, E17, duplicates E10, whose primary record is DE.

JSON: {"count": 0}

✅ R3 csv+padding run 4 graded by code

0. The only LU record is E17, a duplicate of E10, which is domiciled in DE.

JSON: {"count": 0}

✅ R3 csv+padding run 5 graded by code

0. The only LU record is E17, a duplicate of E10, whose primary record is DE. This is uncertain because of the conflict.

JSON: {"count": 0}