Triple

T21905745
Position Surface form Disambiguated ID Type / Status
Subject canton of Châtel-Guyon E540932 entity
Predicate contains P35 FINISHED
Object Mozac 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: Mozac | Statement: [canton of Châtel-Guyon, contains, Mozac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mozac
Context triple: [canton of Châtel-Guyon, contains, Mozac]
  • A. Mozac chosen
    Mozac is a commune in central France’s Puy-de-Dôme department, known for its historic Benedictine abbey and Romanesque architectural heritage.
  • B. Mado
    Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
  • C. Mozasu
    Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
  • D. Mazilu
    Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
  • E. Murasson
    Murasson is a small rural commune in southern France’s Aveyron department, characterized by its agricultural landscape and traditional village setting.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d62a648190af7074251dc6a03a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:36 p.m.