Q43, run 2026-11-04-2022-sonnet
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
csv run 1
0. The only LU record is E17, a duplicate of the DE-domiciled E10.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 2
0. The only LU record, E17, duplicates E10, which is domiciled in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 3
0. The only LU record is E17, a duplicate of E10, whose authoritative record says DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 4
0. The only LU record, E17, is a duplicate of the German E10.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 5
0. Only the duplicate E17 says LU, and its original E10 is DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv+markdown run 1
1 (E10/E17).
JSON: {"count": 1}
csv+markdown run 2
1, E10.
JSON: {"count": 1}
csv+markdown run 3
1. It is the single entity E10/E17.
JSON: {"count": 1}
csv+markdown run 4
1. Only E17, which is the same entity as E10.
JSON: {"count": 1}
csv+markdown run 5
1. Only E10/E17, the same entity, is domiciled in LU.
JSON: {"count": 1}
executed run 1
1: E10 only.
JSON: {"count": 1}
executed run 2
1 (E10).
JSON: {"count": 1}
executed run 3
1 (E10).
JSON: {"count": 1}
executed run 4
1: E10.
JSON: {"count": 1}
executed run 5
1, which is E10.
JSON: {"count": 1}
csv+axioms run 1
1. E10 and E17 are one entity.
JSON: {"count": 1}
csv+axioms run 2
1 entity (E10/E17).
JSON: {"count": 1}
csv+axioms run 3
1. E10 and E17 are one entity.
JSON: {"count": 1}
csv+axioms run 4
1. Only E10/E17, which is one entity, is domiciled in LU.
JSON: {"count": 1}
csv+axioms run 5
1. E10 and E17 are the same entity.
JSON: {"count": 1}