Triple

T13560080
Position Surface form Disambiguated ID Type / Status
Subject Petit Pic E323882 entity
Predicate accessFrom P1985 FINISHED
Object Vallée d’Ossau E62493 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: Vallée d’Ossau | Statement: [Petit Pic, accessFrom, Vallée d’Ossau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallée d’Ossau
Context triple: [Petit Pic, accessFrom, Vallée d’Ossau]
  • A. Vallée d’Ossau chosen
    Vallée d’Ossau is a scenic valley in the French Pyrenees known for its dramatic mountain landscapes, traditional pastoral villages, and popular hiking routes.
  • B. 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.
  • C. Val d’Hérens
    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.
  • D. Grésivaudan Valley
    The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
  • E. Gave d’Ossau
    Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff5219081909cf60423e79d278f completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05c844c8190bb4b72d2400a6355 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:47 p.m.