Triple

T18291098
Position Surface form Disambiguated ID Type / Status
Subject Mont Fort E438115 entity
Predicate overlooks P1323 FINISHED
Object Bagnes Valley 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: Bagnes Valley | Statement: [Mont Fort, overlooks, Bagnes Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagnes Valley
Context triple: [Mont Fort, overlooks, Bagnes Valley]
  • A. Ubaye Valley
    The Ubaye Valley is a scenic alpine valley in the French Alps known for its rugged mountain landscapes, outdoor sports, and traditional Provençal mountain villages.
  • B. Colagne valley
    The Colagne valley is a scenic river valley in southern France known for its rural landscapes and small towns such as Marvejols.
  • C. Ruetz valley
    Ruetz valley is a scenic alpine valley in the Austrian Tyrol known for its dramatic mountain landscapes, hiking trails, and traditional rural villages.
  • D. 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.
  • E. Val d’Hérens chosen
    Val d’Hérens is a picturesque alpine valley in the Swiss canton of Valais, known for its traditional villages, dramatic peaks, and well-preserved rural culture.
  • 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.