Triple

T12137966
Position Surface form Disambiguated ID Type / Status
Subject Columbio E289109 entity
Predicate hasMulticulturalPopulation P38709 FINISHED
Object true 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: true | Statement: [Columbio, hasMulticulturalPopulation, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMulticulturalPopulation
Context triple: [Columbio, hasMulticulturalPopulation, true]
  • A. isMulticulturalCity chosen
    Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
  • B. hasEthnicallyMixedPopulation
    Indicates that a population is composed of people from multiple distinct ethnic groups rather than being ethnically homogeneous.
  • C. ethnicPluralityOf
    Indicates that one ethnic group constitutes the largest share of the population within a given place or entity, though not necessarily an absolute majority.
  • D. hasMulticulturalTradition
    Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
  • E. hasSignificantPopulationGroup
    Indicates that an entity contains or is associated with a notable or substantial subgroup of a population, distinguished by shared characteristics or attributes.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91841615c819097f20a7447a1b8f4 completed April 10, 2026, 3:33 p.m.
PD Predicate disambiguation batch_69d91508f8008190b3a90ec0bf0953ca completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:49 p.m.