Triple

T7223903
Position Surface form Disambiguated ID Type / Status
Subject Cabaret E150328 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Cabaret E150328 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: Cabaret | Statement: [Cabaret, hasMunicipalSeat, Cabaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabaret
Context triple: [Cabaret, hasMunicipalSeat, Cabaret]
  • A. Cabaret chosen
    Cabaret is a coastal commune in Haiti’s Ouest Department, known for its proximity to Port-au-Prince and its role in the region’s local agriculture and trade.
  • B. Cabaret (stage production)
    Cabaret (stage production) is a landmark musical set in 1930s Berlin that explores the rise of Nazism through the decadent world of the Kit Kat Klub, known for its dark themes, iconic songs, and innovative staging.
  • C. Can-Can
    Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
  • D. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • E. Babes in Arms
    Babes in Arms is a 1937 Broadway musical by Richard Rodgers and Lorenz Hart, best known for songs like "My Funny Valentine" and "The Lady Is a Tramp."
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
Created at: March 27, 2026, 2:54 p.m.