Triple

T7614516
Position Surface form Disambiguated ID Type / Status
Subject Maurienne Valley E172326 entity
Predicate near P350 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: [Maurienne Valley, near, Briançonnais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Briançonnais
Context triple: [Maurienne Valley, near, 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. Dolomieucoises
    Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
  • C. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • D. 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.
  • E. Brouilly
    Brouilly is a French wine appellation in the Beaujolais region, known for its fruity, approachable red wines made primarily from the Gamay grape.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4392e881908ed1ab3f64b41600 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8686d16808190bc431c43c0928f6e completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.