Q43, run 2026-11-04-1643-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 E17, a duplicate of the DE entity E10, so it conflicts with E10 rather than describing a separate entity.

JSON: {"count": 0}

✅ R1 csv run 2 graded by code

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

JSON: {"count": 0}

✅ R1 csv run 3 graded by code

0. The only LU record is E17, which duplicates E10 (DE). The data conflicts here, so this follows the LEI.

JSON: {"count": 0}

✅ R1 csv run 4 graded by code

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

JSON: {"count": 0}

✅ R1 csv run 5 graded by code

0. The only LU record is E17, a duplicate of E10, which is in DE; if the E17 country were trusted instead, it 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 count E17 separately, it would be 1.

JSON: {"count": 0}

✅ R2 rdf run 2 graded by code

0. The only LU record is E17, which duplicates E10 (DE); if you count E17 separately the answer would be 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) by LEI. If E17 were counted separately the answer would be 1.

JSON: {"count": 0}

✅ R2 rdf run 4 graded by code

0. The only LU record is E17, which is the same entity as E10 (DE). If you counted records, it would be 1.

JSON: {"count": 0}

✅ R2 rdf run 5 graded by code

0. The only LU record is E17, which duplicates E10 (DE) by LEI. If E17 were counted as separate, the answer would be 1.

JSON: {"count": 0}

✅ R6 rdf+ontology run 1 graded by code

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

JSON: {"count": 0}

✅ R6 rdf+ontology run 2 graded by code

0. The only LU record, E17, duplicates E10, which the system of record places in DE.

JSON: {"count": 0}

✅ R6 rdf+ontology run 3 graded by code

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

JSON: {"count": 0}

✅ R6 rdf+ontology run 4 graded by code

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

JSON: {"count": 0}

✅ R6 rdf+ontology run 5 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 1 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 2 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 3 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 4 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 5 graded by code

0. Only the RESEARCH record E17 says LU, and the RATINGS record gives DE.

JSON: {"count": 0}

✅ R4 csv+markdown run 1 graded by code

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

JSON: {"count": 0}

✅ R4 csv+markdown run 2 graded by code

0. The only LU record is E17, and its country is overridden by the RATINGS record E10 (DE).

JSON: {"count": 0}

✅ R4 csv+markdown run 3 graded by code

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

JSON: {"count": 0}

✅ R4 csv+markdown run 4 graded by code

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

JSON: {"count": 0}

✅ R4 csv+markdown run 5 graded by code

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

JSON: {"count": 0}

✅ R3 csv+padding run 1 graded by code

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

JSON: {"count": 0}

✅ R3 csv+padding run 2 graded by code

0. The only LU record is E17, which resolves to E10 (DE), so this rests on a conflicting record.

JSON: {"count": 0}

✅ R3 csv+padding run 3 graded by code

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

JSON: {"count": 0}

✅ R3 csv+padding run 4 graded by code

0. The only LU record is E17, which is a duplicate of E10, and E10's primary record says DE, so this depends on which record you trust.

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 says DE. If you trust E17 over E10, the answer would be 1.

JSON: {"count": 0}