Triple

T12929315
Position Surface form Disambiguated ID Type / Status
Subject Briançon E309330 entity
Predicate demonym P191 FINISHED
Object Briançonnais E270286 NE FINISHED

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: Briançonnais | Statement: [Briançon, demonym, Briançonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Briançonnais
Context triple: [Briançon, demonym, Briançonnais]
  • A. Briançonnais area chosen
    The Briançonnais area is a mountainous region in the French Alps around the town of Briançon, known for its high-altitude valleys, ski resorts, and proximity to the Italian border.
  • B. Charollais
    Charollais is the French demonym referring to inhabitants of the town of Charolles in the Saône-et-Loire department of eastern France.
  • C. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • D. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • E. Franches-Montagnes
    Franches-Montagnes is a traditional rural region of the Swiss canton of Jura, known for its high plateau landscapes, watchmaking heritage, and the native Franches-Montagnes horse breed.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af687f548190b70ac8fa9bbbd414 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.