Triple

T916622
Position Surface form Disambiguated ID Type / Status
Subject Ardèche River E19784 entity
Predicate namedAfter P63 FINISHED
Object Ardèche department E130207 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: Ardèche department | Statement: [Ardèche River, namedAfter, Ardèche department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ardèche department
Context triple: [Ardèche River, namedAfter, Ardèche department]
  • A. Ardèche department chosen
    Ardèche department is a rural administrative region in southeastern France known for its dramatic river gorges, limestone plateaus, prehistoric caves, and outdoor tourism.
  • 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. Isère department
    Isère department is an administrative region in southeastern France, known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
  • D. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • E. Ain department
    Ain department is an administrative region in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2f8e26c81908b768d3e9e67689d completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f023de4819099af23a8d30cb96f completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:39 p.m.