Triple

T18927953
Position Surface form Disambiguated ID Type / Status
Subject Lectoure E463023 entity
Predicate locatedIn P40 FINISHED
Object Gers department 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: Gers department | Statement: [Lectoure, locatedIn, Gers department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gers department
Context triple: [Lectoure, locatedIn, Gers department]
  • A. Gers (department) chosen
    Gers is a rural department in southwestern France, known for its rolling countryside, Armagnac brandy, and traditional Gascon culture.
  • B. Gard department
    Gard department is an administrative region in southern France known for its Mediterranean landscapes, historic Roman sites such as the Pont du Gard, and the city of Nîmes.
  • 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. Nord department
    The Nord department is an administrative region in northern Haiti known for its historic cities, including Cap-Haïtien, and its significant role in the country’s colonial and revolutionary history.
  • E. Nord department
    Nord department is an administrative region in northern France bordering Belgium, known for its industrial heritage and historic cities such as Lille.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bdddb481908bebd32f927ed5de completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.