Triple

T21809259
Position Surface form Disambiguated ID Type / Status
Subject Canton of Thiers E538427 entity
Predicate contains P35 FINISHED
Object Vollore-Montagne 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: Vollore-Montagne | Statement: [Canton of Thiers, contains, Vollore-Montagne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vollore-Montagne
Context triple: [Canton of Thiers, contains, Vollore-Montagne]
  • A. Vollore-Montagne chosen
    Vollore-Montagne is a small rural commune in central France’s Puy-de-Dôme department, known for its mountainous landscapes in the Auvergne region.
  • B. Val-Cenis
    Val-Cenis is a French Alpine commune and ski resort area in the Savoie department, known for its mountain landscapes and winter sports tourism.
  • C. Longjumeau
    Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
  • D. Mauvezin
    Mauvezin is a small commune in southwestern France, located in the Gers department within the Occitanie region.
  • E. Durfort-Lacapelette
    Durfort-Lacapelette is a rural commune in the Tarn-et-Garonne department in southern France, known for its agricultural landscape and traditional southwestern French character.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc4809c8190853e2777a1f573d4 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.