Triple

T19252566
Position Surface form Disambiguated ID Type / Status
Subject Péron E481430 entity
Predicate countrySubdivision P766 FINISHED
Object Ain 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: Ain | Statement: [Péron, countrySubdivision, Ain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ain
Context triple: [Péron, countrySubdivision, Ain]
  • A. Ain chosen
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • B. Ain
    Ain is the station code for Ainola railway station, a local rail stop in Finland associated with the home of composer Jean Sibelius.
  • C. Avin
    Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. Ainabo
    Ainabo is a town in the Sool region of Somaliland, serving as a local administrative and commercial center for the surrounding area.
  • E. A’aninin
    A’aninin, also known as the Gros Ventre, are a Native American people of the Northern Plains historically associated with present-day Montana.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb31f8ac81909cd9a417b60f86a8 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.