Triple

T19350818
Position Surface form Disambiguated ID Type / Status
Subject Anjou E484011 entity
Predicate borders P224 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: [Anjou, borders, Touraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Touraine
Context triple: [Anjou, borders, 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. Limousin region
    The Limousin region was a former administrative region in central France known for its rural landscapes, cattle breeding, and production of fine porcelain around the city of Limoges.
  • C. Puisaye region
    The Puisaye region is a rural area of north-central France known for its forests, lakes, traditional pottery, and historic villages in the Burgundy and Centre-Val de Loire areas.
  • D. Grands-Ponts Region
    Grands-Ponts Region is an administrative region in southern Ivory Coast known for its coastal location and inclusion within the larger Lagunes District.
  • E. Pays de Lyons
    Pays de Lyons is a historic and heavily forested natural region in Normandy, France, centered around the Lyons-la-Forêt area and its surrounding villages.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61904a878819084d58ed3b7d8a978 completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07719a9afc81908d69dbdbdd90fb1e completed May 15, 2026, 7:18 p.m.
Created at: April 10, 2026, 1:34 p.m.