Triple

T14549592
Position Surface form Disambiguated ID Type / Status
Subject Roman Catholic Diocese of Belley-Ars E341379 entity
Predicate cathedralCity P9022 FINISHED
Object Belley E280234 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: Belley | Statement: [Roman Catholic Diocese of Belley-Ars, cathedralCity, Belley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belley
Context triple: [Roman Catholic Diocese of Belley-Ars, cathedralCity, Belley]
  • A. Belley chosen
    Belley is a historic town in eastern France that serves as one of the administrative centers of the Ain department in the Auvergne-Rhône-Alpes region.
  • B. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • C. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • D. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • E. Belval
    Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.