Triple

T32137690
Position Surface form Disambiguated ID Type / Status
Subject Sloviansk E820815 entity
Predicate hasLanguageMajorityHistorically P36041 FINISHED
Object Russian-speaking population 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: Russian-speaking population | Statement: [Sloviansk, hasLanguageMajorityHistorically, Russian-speaking population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLanguageMajorityHistorically
Context triple: [Sloviansk, hasLanguageMajorityHistorically, Russian-speaking population]
  • A. hasMajorityLanguageHistorically chosen
    Indicates that a particular language has historically been the predominant or majority language within a given entity or region.
  • B. hasOfficialLanguageMajority
    Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
  • C. historicalLanguageOfBearers
    Indicates that the specified language is historically spoken or used by the bearers of a given name, title, or designation.
  • D. historicalMinorityLanguage
    Indicates that a language has historically been used by a minority group within a given region or population, even if it may no longer be widely spoken there.
  • E. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
Created at: May 1, 2026, 12:30 a.m.