Triple

T13572358
Position Surface form Disambiguated ID Type / Status
Subject Юрий E324194 entity
Predicate hasLatinAlphabetTransliteration P34124 FINISHED
Object Yuriĭ E229162 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: Yuriĭ | Statement: [Юрий, hasLatinAlphabetTransliteration, Yuriĭ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuriĭ
Context triple: [Юрий, hasLatinAlphabetTransliteration, Yuriĭ]
  • A. Yuriĭ chosen
    Yuriĭ is a given name of Slavic origin, commonly used as a variant of the name Yuri.
  • B. Yevhen
    Yevhen is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • C. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • D. Sergiy
    Sergiy is a given name, commonly used as a Ukrainian or Eastern European variant of the name Sergei.
  • E. Юрий
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942a29b88190acefc8b3b91d849f completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:48 p.m.