Triple

T8180560
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian national movement E191047 entity
Predicate promotesLanguage P75229 FINISHED
Object Ukrainian language 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: Ukrainian language | Statement: [Ukrainian national movement, promotesLanguage, Ukrainian language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: promotesLanguage
Context triple: [Ukrainian national movement, promotesLanguage, Ukrainian language]
  • A. promotedLanguage
    Indicates that one entity actively advocated for, advertised, or otherwise encouraged the use or adoption of a particular language.
  • B. languageAdvocated chosen
    Indicates that an entity actively supports, promotes, or argues in favor of the use or adoption of a particular language.
  • C. focusesOnLanguage
    Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
  • D. languageOfScriptPromoted
    Indicates that a particular language is associated with and promoted through the use of a given writing script.
  • E. adoptedLanguage
    Indicates that an entity has chosen and begun using a particular language, typically as its official, primary, or preferred means of communication.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ac012948190bb4e2448561692e6 completed March 31, 2026, 4:17 a.m.
PD Predicate disambiguation batch_69cb36a7952481908f34e3e82f375a84 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:40 p.m.