Q43, run 2026-11-05-2135-sonnet

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

Tests: Local rule: the RESEARCH record's country holds over the RATINGS record's, so Halden Bank is in LU.

Expected: count = 1

❌ R1 csv run 1 graded by code

0. The only LU record is E17, which duplicates E10 (DE).

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 2 graded by code

0. The only LU row is E17, a duplicate of E10, whose RATINGS record places it in DE. Counted as its own entity, it would be 1.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 3 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 4 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 5 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R2 rdf run 1 graded by code

0. The only LU record, E17, duplicates E10, whose authoritative record says DE.

JSON: {"count": 0}

Why: count: expected 1, got 0

✅ R2 rdf run 2 graded by code

1. Only E17 has country LU, and it shares an LEI with E10, which says DE.

JSON: {"count": 1}

❌ R2 rdf run 3 graded by code

0. The only LU record is E17, which duplicates E10 (domiciled in DE); counted by record it would be 1.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R2 rdf run 4 graded by code

0. The only LU record is E17, which duplicates E10 (DE).

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R2 rdf run 5 graded by code

0. The only LU record is E17, a duplicate of E10, which is recorded as DE.

JSON: {"count": 0}

Why: count: expected 1, got 0

✅ R6 rdf+ontology run 1 graded by code

1: E10/E17.

JSON: {"count": 1}

✅ R6 rdf+ontology run 2 graded by code

1: E10, which is the same entity as E17.

JSON: {"count": 1}

✅ R6 rdf+ontology run 3 graded by code

1. Only E10/E17 is domiciled in LU.

JSON: {"count": 1}

✅ R6 rdf+ontology run 4 graded by code

1 (the Halden Bank entity, E10/E17).

JSON: {"count": 1}

✅ R6 rdf+ontology run 5 graded by code

1. E17 is the only LU record, and it is the same entity as E10.

JSON: {"count": 1}

✅ R5 csv+ontology run 1 graded by code

1 entity: E10, through E17.

JSON: {"count": 1}

✅ R5 csv+ontology run 2 graded by code

1. Only the Halden Bank entity (E10/E17) is domiciled in LU.

JSON: {"count": 1}

✅ R5 csv+ontology run 3 graded by code

1: the Halden Bank entity (E10/E17).

JSON: {"count": 1}

✅ R5 csv+ontology run 4 graded by code

1: E17 (Halden Bank).

JSON: {"count": 1}

✅ R5 csv+ontology run 5 graded by code

One, the Halden Bank entity (E17/E10).

JSON: {"count": 1}

✅ R4 csv+markdown run 1 graded by code

1, the Halden Bank entity (E10/E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 2 graded by code

1: the Halden Bank entity (E10/E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 3 graded by code

1: E10 (Halden Bank), via E17.

JSON: {"count": 1}

✅ R4 csv+markdown run 4 graded by code

1. Only the Halden Bank entity (E10/E17) is domiciled in LU.

JSON: {"count": 1}

✅ R4 csv+markdown run 5 graded by code

1, which is E10/E17.

JSON: {"count": 1}

❌ R3 csv+padding run 1 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R3 csv+padding run 2 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R3 csv+padding run 3 graded by code

0. The only LU row is E17, a duplicate of E10 whose primary record is DE.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R3 csv+padding run 4 graded by code

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

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R3 csv+padding run 5 graded by code

0. Only the duplicate research record E17 says LU, and I took the RATINGS country (DE) as authoritative.

JSON: {"count": 0}

Why: count: expected 1, got 0

✅ R10 executed run 1 graded by code

1: E10 only.

JSON: {"count": 1}

✅ R10 executed run 2 graded by code

1 (E10).

JSON: {"count": 1}

✅ R10 executed run 3 graded by code

1. Only E10 is domiciled in LU.

JSON: {"count": 1}

✅ R10 executed run 4 graded by code

1 (E10).

JSON: {"count": 1}

✅ R10 executed run 5 graded by code

1: E10. The merged record E17 is part of E10.

JSON: {"count": 1}

✅ R7 csv+neutral run 1 graded by code

1: Halden Bank (E10/E17).

JSON: {"count": 1}

✅ R7 csv+neutral run 2 graded by code

1: E10, whose RESEARCH record (E17) gives LU.

JSON: {"count": 1}

✅ R7 csv+neutral run 3 graded by code

1 (Halden Bank).

JSON: {"count": 1}

✅ R7 csv+neutral run 4 graded by code

1, E10 (through E17).

JSON: {"count": 1}

✅ R7 csv+neutral run 5 graded by code

1 (Halden Bank).

JSON: {"count": 1}

✅ R8 csv+axioms run 1 graded by code

1. The only LU-domiciled entity is the one behind E10/E17.

JSON: {"count": 1}

✅ R8 csv+axioms run 2 graded by code

1. Only the Halden Bank entity (E10/E17) is domiciled in LU.

JSON: {"count": 1}

✅ R8 csv+axioms run 3 graded by code

1: E10, the same entity as E17.

JSON: {"count": 1}

✅ R8 csv+axioms run 4 graded by code

1, the E10/E17 entity.

JSON: {"count": 1}

✅ R8 csv+axioms run 5 graded by code

1, the E10/E17 entity.

JSON: {"count": 1}

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

1, namely E10, through its RESEARCH record E17.

JSON: {"count": 1}

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

1 (the Halden Bank entity, E10/E17).

JSON: {"count": 1}

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

1, which is Halden Bank (E10/E17).

JSON: {"count": 1}

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

1. Only the E10/E17 entity (Halden Bank) is domiciled in Luxembourg.

JSON: {"count": 1}

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

1. Only the E10/E17 entity is domiciled in LU.

JSON: {"count": 1}