Triple
T38548736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Aire et Dax |
E925045
|
entity |
| Predicate | hasPrimaryCities |
—
|
GENERATED |
| Object | Aire-sur-l’Adour |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryCities Context triple: [Diocese of Aire et Dax, hasPrimaryCities, Aire-sur-l’Adour]
-
A.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
-
B.
hasPrimarySettlementsLocation
Indicates that the primary settlements of an entity are located in or associated with a specified place or geographic area.
-
C.
hasSecondaryCity
Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
-
D.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
E.
mainCities
chosen
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.