Triple

T4500735
Position Surface form Disambiguated ID Type / Status
Subject Doron de Bozel E101210 entity
Predicate locatedIn P40 FINISHED
Object Savoie department E283447 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: Savoie department | Statement: [Doron de Bozel, locatedIn, Savoie department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savoie department
Context triple: [Doron de 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. Haute-Savoie
    Haute-Savoie is a department in the Auvergne-Rhône-Alpes region of southeastern France, renowned for its Alpine landscapes, ski resorts, and proximity to Mont Blanc and the Swiss and Italian borders.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c4080c8190bd9580c961acaca8 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f71de7081908520ebb81d184e0c completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1 p.m.