Triple

T13403154
Position Surface form Disambiguated ID Type / Status
Subject Henriette de Mortsauf E319884 entity
Predicate setting P1957 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: [Henriette de Mortsauf, setting, Touraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touraine
Context triple: [Henriette de Mortsauf, setting, 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4ae47081909b68a9aaa62fd4c7 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461b0dd481908719fc4657bb92bb completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:34 p.m.