Triple

T15787887
Position Surface form Disambiguated ID Type / Status
Subject Bresse E382785 entity
Predicate partOf P40 FINISHED
Object Ain E57120 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: Ain | Statement: [Bresse, partOf, Ain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ain
Context triple: [Bresse, partOf, Ain]
  • A. Ain
    Ain is the station code for Ainola railway station, a local rail stop in Finland associated with the home of composer Jean Sibelius.
  • B. 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.
  • C. Avin
    Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • D. 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.
  • E. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.