Triple

T18291056
Position Surface form Disambiguated ID Type / Status
Subject Bagnes E438114 entity
Predicate contains P35 FINISHED
Object Val de Bagnes 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: Val de Bagnes | Statement: [Bagnes, contains, Val de Bagnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Val de Bagnes
Context triple: [Bagnes, contains, Val de Bagnes]
  • A. Val de Bagnes chosen
    Val de Bagnes is a scenic alpine valley in the Swiss canton of Valais, known for its mountain landscapes, outdoor sports, and traditional villages including the resort area around Verbier.
  • B. Broye
    Broye is a river in western Switzerland that flows through the cantons of Fribourg and Vaud before emptying into Lake Neuchâtel.
  • C. Vallée de l’Arve
    Vallée de l’Arve is a valley in the French Alps known for its industrial towns and as a key route linking Geneva to the Mont Blanc region.
  • D. Vallée de la Dranse
    Vallée de la Dranse is a river valley in the French Alps shaped by the Dranse River, known for its mountainous landscapes and outdoor recreation opportunities.
  • E. Vallée de la Valserine
    Vallée de la Valserine is a scenic valley in eastern France known for the Valserine River, forested landscapes, and small mountain villages in the Jura region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500fee5248190928e68ddaa4d90d7 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.