Q43, run 2026-11-05-1227-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 E10, so I did not count it as a separate LU entity. Counting records rather than entities would give 1.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 2
0. The only LU record is E17, which is a duplicate of the DE-domiciled E10.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 3
0. The only LU record is E17, a RESEARCH duplicate of E10, which is DE in RATINGS, so the answer depends on how that conflict is resolved.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 4
0. The only LU record is E17, a duplicate of E10, which is recorded as DE in the primary source.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv run 5
0. The only LU record is E17, a duplicate of E10, whose primary record says DE. If you trust E17's country, the answer would be 1.
JSON: {"count": 0}
Why: count: expected 1, got 0
rdf run 1
0. The only LU record is E17, which shares E10's LEI, and E10 is recorded as DE. Counting E17 alone would give 1.
JSON: {"count": 0}
Why: count: expected 1, got 0
rdf run 2
0. The only LU record is E17, which duplicates E10 (DE). This is a judgement call, since the two records conflict.
JSON: {"count": 0}
Why: count: expected 1, got 0
rdf run 3
1, E17. It is probably the same entity as E10, so this is a data conflict.
JSON: {"count": 1}
rdf run 4
1, but this is uncertain. E17 is the only LU record, and it duplicates E10, which is recorded as DE.
JSON: {"count": 1}
rdf run 5
0. The only LU record is E17, which duplicates E10 (domiciled in DE). Counting by record would give 1.
JSON: {"count": 0}
Why: count: expected 1, got 0
rdf+ontology run 1
1. Only Halden Bank, which is E10 and E17 as one entity.
JSON: {"count": 1}
rdf+ontology run 2
1. E10 and E17 are the same entity.
JSON: {"count": 1}
rdf+ontology run 3
1: E17/E10 is the only entity domiciled in LU.
JSON: {"count": 1}
rdf+ontology run 4
1. Only the Halden Bank entity (E17, the same as E10) is in LU.
JSON: {"count": 1}
rdf+ontology run 5
1. Only the entity recorded as E10 and E17 is domiciled in LU.
JSON: {"count": 1}
csv+ontology run 1
1. Only Halden Bank (E10/E17).
JSON: {"count": 1}
csv+ontology run 2
1, the Halden Bank entity (E10/E17).
JSON: {"count": 1}
csv+ontology run 3
1, which is Halden Bank (E10/E17).
JSON: {"count": 1}
csv+ontology run 4
1, Halden Bank (E10/E17).
JSON: {"count": 1}
csv+ontology run 5
1. Only Halden Bank (E10/E17) is domiciled in LU.
JSON: {"count": 1}
csv+markdown run 1
1. E10 and E17 are the same entity.
JSON: {"count": 1}
csv+markdown run 2
1. Only Halden Bank (E10/E17).
JSON: {"count": 1}
csv+markdown run 3
1, the Halden Bank entity (E10/E17).
JSON: {"count": 1}
csv+markdown run 4
1, which is E10 (via E17).
JSON: {"count": 1}
csv+markdown run 5
1: Halden Bank (E10 and E17).
JSON: {"count": 1}
csv+padding run 1
0. The only LU record, E17, duplicates E10, whose primary record is domiciled in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv+padding run 2
0. The only LU record is E17, which duplicates the DE-domiciled E10.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv+padding run 3
0. The only LU record is E17, a duplicate of E10, whose primary record is DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv+padding run 4
0. The only LU record is E17, which duplicates E10 and conflicts with its DE domicile.
JSON: {"count": 0}
Why: count: expected 1, got 0
csv+padding run 5
0. The only LU record is E17, a duplicate of E10, which is in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
executed run 1
1: E10.
JSON: {"count": 1}
executed run 2
1. Only E10 is in LU; E17 is merged into it.
JSON: {"count": 1}
executed run 3
1 (E10).
JSON: {"count": 1}
executed run 4
1. Only E10 is domiciled in LU.
JSON: {"count": 1}
executed run 5
1. Only E10 is domiciled in LU.
JSON: {"count": 1}
csv+neutral run 1
1. Only E10 (via E17) is domiciled in LU.
JSON: {"count": 1}
csv+neutral run 2
1, which is Halden Bank (E10/E17).
JSON: {"count": 1}
csv+neutral run 3
1: Halden Bank (E10/E17).
JSON: {"count": 1}
csv+neutral run 4
1, the single Halden Bank entity (E10/E17).
JSON: {"count": 1}
csv+neutral run 5
1. Only E10, via its RESEARCH record E17.
JSON: {"count": 1}
csv+axioms run 1
1. E10 and E17 are the same entity.
JSON: {"count": 1}
csv+axioms run 2
1. E10 and E17 are the same entity.
JSON: {"count": 1}
csv+axioms run 3
1. E10 and E17 are the same entity.
JSON: {"count": 1}
csv+axioms run 4
1. E10 and E17 are one entity.
JSON: {"count": 1}
csv+axioms run 5
1. E10 and E17 are the same entity.
JSON: {"count": 1}
csv+axioms+markdown run 1
1, the E10/E17 entity.
JSON: {"count": 1}
csv+axioms+markdown run 2
1, E10 (with E17).
JSON: {"count": 1}
csv+axioms+markdown run 3
1. E10 and E17 are one entity.
JSON: {"count": 1}
csv+axioms+markdown run 4
1: E10, which is the same entity as E17.
JSON: {"count": 1}
csv+axioms+markdown run 5
1, the Halden Bank entity (E10/E17).
JSON: {"count": 1}