Triple

T858753
Position Surface form Disambiguated ID Type / Status
Subject Isère River E18552 entity
Predicate sourceLocatedIn P409 FINISHED
Object Savoie department E64871 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: [Isère River, sourceLocatedIn, Savoie department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savoie department
Context triple: [Isère River, sourceLocatedIn, Savoie department]
  • A. Drôme department
    The Drôme department is an administrative region in southeastern France, known for its historic towns, vineyards, and proximity to the Rhône Valley.
  • B. 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.
  • C. Rhône department
    The Rhône department is an administrative region in eastern France that includes the major city of Lyon and is known for its economic importance and cultural heritage.
  • D. Savoie chosen
    Savoie is a mountainous department in southeastern France, known for its Alpine landscapes, ski resorts, and rich Savoyard cultural heritage.
  • E. Hautes-Alpes
    Hautes-Alpes is a mountainous department in southeastern France known for its Alpine landscapes, ski resorts, and outdoor recreation.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4f740881909cb59a6c18a77af3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a93398a6948190981e932178aee6b9 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:39 p.m.