Triple

T2582310
Position Surface form Disambiguated ID Type / Status
Subject Ain E57120 entity
Predicate borders P224 FINISHED
Object Isère department E114365 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: Isère department | Statement: [Ain, borders, Isère department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isère department
Context triple: [Ain, borders, 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 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. 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. Savoie department
    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.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66d08008190a319b19b56b6ea0d completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:49 p.m.