Triple

T10575893
Position Surface form Disambiguated ID Type / Status
Subject Chanteloup E249610 entity
Predicate locatedIn P40 FINISHED
Object Touraine E24522 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: Touraine | Statement: [Chanteloup, locatedIn, Touraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touraine
Context triple: [Chanteloup, locatedIn, Touraine]
  • A. Touraine chosen
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. French Lorraine
    French Lorraine is a historical region in northeastern France whose culture reflects a blend of French and Germanic influences.
  • C. Rouergue
    Rouergue is a historic cultural region in southern France, centered around the present-day Aveyron department and known for its rural landscapes, medieval towns, and Occitan heritage.
  • D. Marmande region
    The Marmande region is an agricultural area in southwestern France, renowned for its tomato production and situated along the Garonne River.
  • E. Pays d’Auge
    Pays d’Auge is a picturesque rural region in Normandy, France, renowned for its rolling pastures, half-timbered houses, cider and Calvados production, and traditional Norman heritage.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274b100c8190b477ef4cb745c269 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69e2d65fc0948190af4356fc9f5004bb completed April 18, 2026, 12:54 a.m.
Created at: April 6, 2026, 12:38 p.m.