Triple

T23615731
Position Surface form Disambiguated ID Type / Status
Subject Chicago house E583166 entity
Predicate culturalOriginContext P89586 FINISHED
Object Chicago nightclub scene LITERAL 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: Chicago nightclub scene | Statement: [Chicago house, culturalOriginContext, Chicago nightclub scene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalOriginContext
Context triple: [Chicago house, culturalOriginContext, Chicago nightclub scene]
  • A. originatedInCulturalContext chosen
    Indicates that something began, developed, or was created within a particular cultural setting, tradition, or milieu.
  • B. culturalContextOfWork
    Indicates the cultural setting, traditions, or background within which a work was created, interpreted, or is meaningfully situated.
  • C. cultureOfOrigin
    Indicates the cultural background or tradition from which an entity originates or is derived.
  • D. hasCulturalRoots
    Indicates that something originates from, is shaped by, or is deeply connected to particular cultural traditions, practices, or heritage.
  • E. countryOfCulturalSignificance
    Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
  • F. None of above.

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_69e248fbcd9081908ba08913f9d30826 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b174f6d881908416631229598fbb completed April 29, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:45 p.m.