Triple
T33468320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Clermont |
E857115
|
entity |
| Predicate | locatedInCivilRegion |
—
|
GENERATED |
| Object | Auvergne-Rhône-Alpes |
—
|
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: locatedInCivilRegion Context triple: [Diocese of Clermont, locatedInCivilRegion, Auvergne-Rhône-Alpes]
-
A.
locatedInTraditionalRegion
Indicates that an entity is situated within a specific traditional or historically recognized region.
-
B.
locatedInRegionalDistrict
Indicates that one entity is geographically situated within the boundaries of a specified regional district.
-
C.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
D.
locatedInNationCapitalRegion
Indicates that an entity is situated within the capital region of a specific nation.
-
E.
locatedInStateOrRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:37 a.m.