Triple

T9727797
Position Surface form Disambiguated ID Type / Status
Subject Château de Haut-Bailly E235659 entity
Predicate locatedIn P40 FINISHED
Object Gironde E225917 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: Gironde | Statement: [Château de Haut-Bailly, locatedIn, Gironde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gironde
Context triple: [Château de Haut-Bailly, locatedIn, Gironde]
  • A. Gironde chosen
    Gironde is a department in southwestern France that encompasses much of the Bordeaux wine region, including renowned appellations such as Graves.
  • B. Charente
    Charente is a department in southwestern France known for its historic towns, cognac production, and scenic river landscapes.
  • C. Dordogne
    Dordogne is a major river in southwestern France known for flowing through the Dordogne valley, a region famed for its picturesque landscapes, historic towns, and prehistoric cave art.
  • D. Haute-Vienne
    Haute-Vienne is a department in west-central France, within the Nouvelle-Aquitaine region, known for its capital Limoges and its historic porcelain industry.
  • E. Aveyron
    Aveyron is a rural department in southern France known for its rugged landscapes, medieval villages, and traditional gastronomy including Roquefort cheese.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc8d2288190b2a1dc3fe1185030 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:21 p.m.