Q43, run 2026-11-06-0041-sonnet-query
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
sql run 1
0. The only LU record is E17, a duplicate of E10, which is domiciled in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
sql run 2
0. The only LU record is E17, a duplicate of E10, which is domiciled in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
sql run 3
0. The only LU record, E17, is a duplicate of the German E10, so I treated it as not a separate LU entity. If you count raw records instead, the answer is 1.
JSON: {"count": 0}
Why: count: expected 1, got 0
sql run 4
0. The only LU record is E17, a duplicate of E10, which is domiciled in DE.
JSON: {"count": 0}
Why: count: expected 1, got 0
sql run 5
0. The only LU record is E17, a duplicate of the German E10.
JSON: {"count": 0}
Why: count: expected 1, got 0
sql+markdown run 1
1. Only the Halden Bank entity (E10/E17) is in LU after applying the RESEARCH country.
JSON: {"count": 1}
sql+markdown run 2
1.
JSON: {"count": 1}
sql+markdown run 3
1. Only the Halden Bank LEI (E10/E17) resolves to LU.
JSON: {"count": 1}
sql+markdown run 4
1. Only the Halden Bank entity (E10/E17) is domiciled in LU.
JSON: {"count": 1}
sql+markdown run 5
1 entity, Halden Bank (E10/E17).
JSON: {"count": 1}
sparql run 1
1 (E17).
JSON: {"count": 1}
sparql run 2
1. The only LU record is E17, which is a duplicate of E10, so it is arguably the same entity as a DE one.
JSON: {"count": 1}
sparql run 3
1. Only E17 is in LU, and it is a duplicate of E10.
JSON: {"count": 1}
sparql run 4
1. Only E17 is in LU, and it duplicates E10.
JSON: {"count": 1}
sparql run 5
1, E17 only.
JSON: {"count": 1}
sparql+ontology run 1
1: E17/E10 is the only LU-domiciled entity.
JSON: {"count": 1}
sparql+ontology run 2
1: E10/E17.
JSON: {"count": 1}
sparql+ontology run 3
1. Only E17 (LU) exists, and it is the same entity as E10.
JSON: {"count": 1}
sparql+ontology run 4
1. Only E17 is domiciled in LU, and it is the same entity as E10.
JSON: {"count": 1}
sparql+ontology run 5
1.
JSON: {"count": 1}
sql+executed run 1
1 (E10).
JSON: {"count": 1}
sql+executed run 2
1 entity is domiciled in LU.
JSON: {"count": 1}
sql+executed run 3
1 (E10).
JSON: {"count": 1}
sql+executed run 4
1 entity is domiciled in LU.
JSON: {"count": 1}
sql+executed run 5
1 (E10).
JSON: {"count": 1}
sparql+axioms run 1
1, counting E10/E17 once.
JSON: {"count": 1}
sparql+axioms run 2
1. E10 and E17 are the same entity.
JSON: {"count": 1}
sparql+axioms run 3
1. E10 and E17 are one entity.
JSON: {"count": 1}
sparql+axioms run 4
1.
JSON: {"count": 1}
sparql+axioms run 5
1, which is a lower bound. I only confirmed E10 and E17, one entity, and did not run a full LU count.
JSON: {"count": 1}