Triple

T13277265
Position Surface form Disambiguated ID Type / Status
Subject André Antoine E316222 entity
Predicate placeOfBirth P1 FINISHED
Object Haute-Vienne E148669 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: Haute-Vienne | Statement: [André Antoine, placeOfBirth, Haute-Vienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haute-Vienne
Context triple: [André Antoine, placeOfBirth, Haute-Vienne]
  • A. Haute-Vienne chosen
    Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
  • B. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • C. Deux-Sèvres
    Deux-Sèvres is a department in western France known for its rural landscapes, historic towns such as Niort, and location within the Nouvelle-Aquitaine region.
  • D. Tarn-et-Garonne
    Tarn-et-Garonne is a department in the Occitanie region of southern France, known for its agricultural landscapes, historic towns, and location along the Garonne and Tarn rivers.
  • E. Gironde
    Gironde is a department in southwestern France that encompasses much of the Bordeaux wine region, including renowned appellations such as Graves.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cfea308190836eb4892e7c5eb4 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:26 p.m.