Triple

T19741572
Position Surface form Disambiguated ID Type / Status
Subject Chamalières E474134 entity
Predicate locatedIn P40 FINISHED
Object Massif Central region 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: Massif Central region | Statement: [Chamalières, locatedIn, Massif Central region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massif Central region
Context triple: [Chamalières, locatedIn, Massif Central region]
  • A. Massif Central chosen
    The Massif Central is a vast highland region in south-central France characterized by ancient volcanic mountains, plateaus, and deep river valleys.
  • B. La Région Centrale
    La Région Centrale is an experimental 1971 Canadian film by Michael Snow, renowned for its abstract, machine-controlled camera movements in a remote landscape.
  • C. Auvergne
    Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
  • D. Limousin region
    The Limousin region was a former administrative region in central France known for its rural landscapes, cattle breeding, and production of fine porcelain around the city of Limoges.
  • E. Grands-Ponts Region
    Grands-Ponts Region is an administrative region in southern Ivory Coast known for its coastal location and inclusion within the larger Lagunes District.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162382081909bd5a251d7da7f75 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.