Triple

T17629641
Position Surface form Disambiguated ID Type / Status
Subject Drac E429940 entity
Predicate flowsThrough P225 FINISHED
Object Isère (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: Isère (department) | Statement: [Drac, flowsThrough, Isère (department)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isère (department)
Context triple: [Drac, flowsThrough, Isère (department)]
  • A. Isère department chosen
    Isère department is an administrative region in southeastern France, known for its Alpine landscapes, winter sports resorts, and the city of Grenoble.
  • B. Drôme
    Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
  • C. Drôme department
    The Drôme department is an administrative region in southeastern France, known for its historic towns, vineyards, and proximity to the Rhône Valley.
  • D. Ardèche department
    Ardèche department is a rural administrative region in southeastern France known for its dramatic river gorges, limestone plateaus, prehistoric caves, and outdoor tourism.
  • E. Jura department
    The Jura department is an administrative region in eastern France known for its mountainous landscapes, forests, and lakes within the Jura Mountains.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbf59dc8190a56aa4a2449b2e2e completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.