Triple

T13791075
Position Surface form Disambiguated ID Type / Status
Subject Issoudun campus E331395 entity
Predicate regionServed P82 FINISHED
Object Indre department E236394 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: Indre department | Statement: [Issoudun campus, regionServed, Indre department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indre department
Context triple: [Issoudun campus, regionServed, Indre department]
  • A. Indre department chosen
    The Indre department is an administrative region in central France known for its rural landscapes, historic towns, and location within the Centre-Val de Loire region.
  • B. Orne department
    Orne department is a largely rural administrative region in northwestern France’s Normandy, known for its historic towns, forests, and horse-breeding countryside.
  • C. Aude department
    The Aude department is an administrative region in southern France known for its historic towns, vineyards, and proximity to the Mediterranean coast.
  • D. 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.
  • E. Nord department
    The Nord department is an administrative region in northern Haiti known for its historic cities, including Cap-Haïtien, and its significant role in the country’s colonial and revolutionary history.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de024af32c8190a9bd1278e09564ba completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7007d5c8190800456e32101903f completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:11 p.m.