Triple

T19225589
Position Surface form Disambiguated ID Type / Status
Subject Feuillant monastery in Paris E480729 entity
Predicate associatedWithOrganization P629 FINISHED
Object Feuillant Club 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: Feuillant Club | Statement: [Feuillant monastery in Paris, associatedWithOrganization, Feuillant Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feuillant Club
Context triple: [Feuillant monastery in Paris, associatedWithOrganization, Feuillant Club]
  • A. Feuillant Club chosen
    The Feuillant Club was a moderate political group during the French Revolution that split from the Jacobins and supported a constitutional monarchy.
  • B. Athenaeum Club
    The Athenaeum Club is a prestigious private members’ club in London, historically associated with leading figures in the arts, sciences, literature, and public life.
  • C. Hightown Club
    Hightown Club is a local social and recreational venue serving the community of Hightown.
  • D. Ingomar Club
    The Ingomar Club is an exclusive private social club based in Eureka, California, best known for occupying and preserving the historic Victorian-era Carson Mansion.
  • E. United Club
    United Club is United Airlines’ network of airport lounges offering travelers comfortable seating, complimentary snacks and drinks, workspaces, and other amenities in airports worldwide.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa97287c8190b85184a512a9c960 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:24 p.m.