Triple

T8166844
Position Surface form Disambiguated ID Type / Status
Subject Eastern Ukraine E190712 entity
Predicate hasSignificantUrbanization P9969 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: [Eastern Ukraine, hasSignificantUrbanization, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignificantUrbanization
Context triple: [Eastern Ukraine, hasSignificantUrbanization, true]
  • A. isUrbanizing
    Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
  • B. hasUrbanGrowthCharacteristic
    Indicates that an entity exhibits a particular quality, pattern, or feature related to urban growth or expansion.
  • C. isUrbanized
    Indicates that a place or area has been developed with dense human settlement, infrastructure, and built environment characteristic of a city or town.
  • D. urbanizationLevel chosen
    Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
  • E. locatedInUrbanizationType
    Indicates that one entity is situated within, or belongs to, a specific type or category of urbanized area (e.g., city, suburb, metropolitan zone).
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb46680fac81908df134df9bf84915 completed March 31, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69cb36a4c40c81909f60aef0e1624c13 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:39 p.m.