Triple

T18365912
Position Surface form Disambiguated ID Type / Status
Subject Château-Chinon (Ville) E440044 entity
Predicate locatedNear P294 FINISHED
Object Autun 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: Autun | Statement: [Château-Chinon (Ville), locatedNear, Autun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autun
Context triple: [Château-Chinon (Ville), locatedNear, Autun]
  • A. Autun chosen
    Autun is a historic town in eastern France renowned for its well-preserved Roman ruins and medieval cathedral.
  • B. Arrah
    Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
  • C. Larimore
    Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
  • D. Holladay
    Holladay is a suburban city in the Salt Lake City metropolitan area in northern Utah, known for its residential neighborhoods and proximity to the Wasatch Mountains.
  • E. Scobey
    Scobey is a surname and place name most notably associated with the city of Scobey in Montana, United States.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.