Triple

T10330857
Position Surface form Disambiguated ID Type / Status
Subject Tricastin E242868 entity
Predicate locatedIn P40 FINISHED
Object Vaucluse department E104221 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: Vaucluse department | Statement: [Tricastin, locatedIn, Vaucluse department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaucluse department
Context triple: [Tricastin, locatedIn, Vaucluse department]
  • A. Vaucluse department chosen
    Vaucluse department is an administrative region in southeastern France known for its historic towns, Provençal landscapes, and part of the Rhône Valley wine region.
  • B. Sud-Est department
    The Sud-Est department is an administrative region in southeastern Haiti known for its mountainous terrain, including the country’s highest peak, and its Caribbean coastline.
  • C. Aude department
    The Aude department is an administrative region in southern France known for its historic towns, vineyards, and proximity to the Mediterranean coast.
  • D. Ain department
    Ain department is an administrative region in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • E. Department of the Seine
    The Department of the Seine was a former administrative division of France that encompassed Paris and its immediate suburbs until it was dissolved and split into smaller departments in 1968.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504679ec8190926d2c5016653cea completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.