Triple

T22176987
Position Surface form Disambiguated ID Type / Status
Subject Feuillant faction E548074 entity
Predicate metAt P1220 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 faction, metAt, Feuillant Club]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feuillant Club
Context triple: [Feuillant faction, metAt, 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6d03488190b29872ff3f436237 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.