Triple

T35255340
Position Surface form Disambiguated ID Type / Status
Subject mainland Ukraine E1018213 entity
Predicate hasMostOfPopulationOf P11012 FINISHED
Object Ukraine NE NERFINISHED

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: Ukraine | Statement: [mainland Ukraine, hasMostOfPopulationOf, Ukraine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMostOfPopulationOf
Context triple: [mainland Ukraine, hasMostOfPopulationOf, Ukraine]
  • A. majorityCountry
    Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
  • B. hasOneOfLargestPopulationsOf
    Indicates that the subject possesses or contains among the highest numbers of members or individuals of the specified type compared to others in a given context.
  • C. hasLargestPopulationOn chosen
    Indicates that the subject entity has the greatest population among a specified set of entities within the context or scope defined by the object.
  • D. hasPopulationOf
    Indicates that an entity possesses a specific number of inhabitants or residents as its population.
  • E. majorityCitizenship
    Indicates that one citizenship or nationality constitutes the largest share of an entity’s members or population compared to all other citizenships.
  • 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_69f76de407d081909dfc3c419817ae93 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fefa064ab48190925759950d0d94d9 completed May 9, 2026, 9:10 a.m.
PD Predicate disambiguation batch_69fef96ae5d08190b027435753c44821 completed May 9, 2026, 9:07 a.m.
Created at: May 3, 2026, 4:02 p.m.