Triple

T4718801
Position Surface form Disambiguated ID Type / Status
Subject Aveyron E104712 entity
Predicate partOf P40 FINISHED
Object Massif Central E9424 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: Massif Central | Statement: [Aveyron, partOf, Massif Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massif Central
Context triple: [Aveyron, partOf, Massif Central]
  • 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. Loire plateau
    The Loire plateau is a highland region in central France forming part of the upper Loire River basin, characterized by its elevated landscapes and expansive rural vistas.
  • C. Auvergne
    Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
  • D. Morvan Massif
    The Morvan Massif is a heavily forested highland region in central France known for its rounded granite hills, lakes, and protected natural landscapes.
  • E. Cévennes
    The Cévennes is a rugged mountainous region in south-central France known for its dramatic landscapes, chestnut forests, and historical role as a refuge for Protestant Huguenots.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642779a08190b01e588d515cf498 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7781d90881908cbf48ec60de3cfc completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:18 p.m.