Triple

T8177813
Position Surface form Disambiguated ID Type / Status
Subject Bertrand Clausel E190981 entity
Predicate placeOfBirth P1 FINISHED
Object Nérac E216695 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: Nérac | Statement: [Bertrand Clausel, placeOfBirth, Nérac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nérac
Context triple: [Bertrand Clausel, placeOfBirth, Nérac]
  • A. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • B. Oyonnax
    Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
  • C. Liré
    Liré is a village in western France, historically notable as the birthplace of Renaissance poet Joachim du Bellay.
  • D. Uzès
    Uzès is a historic town in southern France’s Occitanie region, known for its well-preserved medieval architecture and proximity to the Pont du Gard.
  • E. Nérac, France chosen
    Nérac, France is a historic town in the Lot-et-Garonne department of southwestern France, known for its Renaissance château and association with the Albret family and Henry IV.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abb66bc81908d758c7af2e23ac6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf7f02d08190a6cedc37b64a0d9e completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.