Triple
T38222834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Langeais |
E1012056
|
entity |
| Predicate | territorialSubdivisionOf |
P766
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: France | Statement: [canton of Langeais, territorialSubdivisionOf, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: territorialSubdivisionOf Context triple: [canton of Langeais, territorialSubdivisionOf, France]
-
A.
isRegionalSubdivisionOf
Indicates that one region functions as an administrative or geographic subdivision within a larger region.
-
B.
formerSubdivisionOf
Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
-
C.
realmSubdivision
Indicates a hierarchical relationship where one realm is a constituent subdivision or part of a larger realm.
-
D.
countrySubdivision
chosen
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
-
E.
isSubnationalDivisionOf
Indicates that one entity is an administrative or territorial subdivision that is officially part of, and governed within the jurisdiction of, another larger political entity.
- F. None of above.
Provenance (3 batches)
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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.