Triple

T18502349
Position Surface form Disambiguated ID Type / Status
Subject Bozel E452107 entity
Predicate locatedIn P40 FINISHED
Object Savoie department NE NERFINISHED

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: Savoie department | Statement: [Bozel, locatedIn, Savoie department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savoie department
Context triple: [Bozel, locatedIn, Savoie department]
  • A. Savoie department chosen
    Savoie department is an administrative division in the Auvergne-Rhône-Alpes region of southeastern France, known for its Alpine landscapes, ski resorts, and rich Savoyard cultural heritage.
  • B. Drôme department
    The Drôme department is an administrative region in southeastern France, known for its historic towns, vineyards, and proximity to the Rhône Valley.
  • C. Jura department
    The Jura department is an administrative region in eastern France known for its mountainous landscapes, forests, and lakes within the Jura Mountains.
  • D. Isère department
    Isère department is an administrative region in southeastern France, known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
  • E. Léman department
    The Léman department was an administrative division of the First French Empire, created from territories including the former Republic of Geneva and centered around the city of Geneva near Lake Geneva.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c535908190bdc90c58fc5bdaf7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.