Triple

T32858491
Position Surface form Disambiguated ID Type / Status
Subject European Green Capital 2012 E840443 entity
Predicate hasAwardedCityPopulationRange P43438 FINISHED
Object cities with more than 200000 inhabitants 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: cities with more than 200000 inhabitants | Statement: [European Green Capital 2012, hasAwardedCityPopulationRange, cities with more than 200000 inhabitants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAwardedCityPopulationRange
Context triple: [European Green Capital 2012, hasAwardedCityPopulationRange, cities with more than 200000 inhabitants]
  • A. populationRange
    Indicates the numerical interval within which the size of a population falls.
  • B. hasUrbanCorePopulationRange
    Indicates the range of population values that characterize the urban core associated with an entity.
  • C. hasPopulationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • D. hasPopulationOver chosen
    Indicates that one entity has a population greater than a specified number or than another entity.
  • E. governsPopulationRank
    Indicates that one entity determines or regulates the hierarchical ranking or ordering of a population of entities.
  • 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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ceb2b81c81909c1a186305a9d597 completed May 3, 2026, 4:27 a.m.
PD Predicate disambiguation batch_69f6cc177b288190904f3f23cb856d8b completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:17 a.m.