Q43, run 2026-11-04-1723-haiku

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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

✅ R5 csv+ontology run 1 graded by code

0. No distinct entity is domiciled in LU once RATINGS is treated as the system of record for Halden Bank's country.

JSON: {"count": 0}

✅ R5 csv+ontology run 2 graded by code

0. The only LU record is E17, which is a RESEARCH record overridden by the RATINGS country of DE for the same LEI.

JSON: {"count": 0}

✅ R5 csv+ontology run 3 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 4 graded by code

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

JSON: {"count": 0}

✅ R5 csv+ontology run 5 graded by code

0. Halden Bank is domiciled in DE per the RATINGS record (E10). The LU in E17 is a RESEARCH value that the system-of-record rule overrides.

JSON: {"count": 0}

✅ R7 csv+neutral run 1 graded by code

0. No entity is domiciled in LU under the RATINGS system of record. E17's LU record is overridden by E10's DE record.

JSON: {"count": 0}

✅ R7 csv+neutral run 2 graded by code

0. Under the RATINGS record, E10 is domiciled in DE, so no entity is domiciled in LU.

JSON: {"count": 0}

✅ R7 csv+neutral run 3 graded by code

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

JSON: {"count": 0}

✅ R7 csv+neutral run 4 graded by code

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

JSON: {"count": 0}

✅ R7 csv+neutral run 5 graded by code

0.
No entity is domiciled in LU once the RATINGS record (DE) is applied to E17's conflicting LU value.

JSON: {"count": 0}