Triple
T38243517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont Samson |
E1013831
|
entity |
| Predicate | langueOfficielleDuToponyme |
—
|
GENERATED |
| Object | français |
—
|
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: langueOfficielleDuToponyme Context triple: [Pont Samson, langueOfficielleDuToponyme, français]
-
A.
hasOfficialLanguageOfToponym
chosen
Indicates that a toponym is associated with an official language in which that place name is formally recognized or used.
-
B.
hasOfficialFrenchName
Indicates that an entity possesses an officially recognized name in the French language.
-
C.
hasLanguageOfToponym
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
D.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
E.
languageVariantNameInFrench
Indicates the French-language name used to refer to a particular language variant.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.