Triple

T16797427
Position Surface form Disambiguated ID Type / Status
Subject Niçart E408269 entity
Predicate alternativeName P39 FINISHED
Object Nissart E82995 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: Nissart | Statement: [Niçart, alternativeName, Nissart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nissart
Context triple: [Niçart, alternativeName, Nissart]
  • A. Nissart chosen
    Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • B. Nico de Boinville
    Nico de Boinville is a leading British National Hunt jockey best known for winning major jump races, including the Cheltenham Gold Cup and multiple Champion Chases.
  • C. Natacha St-Pier
    Natacha St-Pier is a Canadian francophone pop singer known for her successful career in the French-speaking music world, including representing France at the Eurovision Song Contest in 2001.
  • D. Bruno Lyonnaz
    Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
  • E. Sebastien Tellier
    Sébastien Tellier is a French singer-songwriter and multi-instrumentalist known for his atmospheric, synth-driven pop and his eclectic, often cinematic approach to music.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2ab08e8819097072a23c4a62392 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab109694819094c696904faf0418 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.