Triple

T8463141
Position Surface form Disambiguated ID Type / Status
Subject ZUNR E200092 entity
Predicate officialLanguage P236 FINISHED
Object Ukrainian E73023 NE 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 | Statement: [ZUNR, officialLanguage, Ukrainian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukrainian
Context triple: [ZUNR, officialLanguage, Ukrainian]
  • A. Ukrainian language chosen
    Ukrainian language is an East Slavic language spoken primarily in Ukraine and written in a variant of the Cyrillic script.
  • B. Surzhyk
    Surzhyk is a mixed sociolect that blends elements of Ukrainian and Russian, commonly spoken in various regions of Ukraine.
  • C. Ukrainian Wikiquote
    Ukrainian Wikiquote is the Ukrainian-language edition of Wikiquote, a free online collection of sourced quotations from notable people, works, and topics.
  • D. Ukrainian Wikisource
    Ukrainian Wikisource is the Ukrainian-language edition of the Wikisource digital library, hosting free, public-domain and freely licensed texts in Ukrainian.
  • E. Ukrainian Wikipedia
    Ukrainian Wikipedia is the Ukrainian-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a251f08190840a7fc31ff528b5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39d5f50081908e273d5286a0d397 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.