Triple

T13572356
Position Surface form Disambiguated ID Type / Status
Subject Юрий E324194 entity
Predicate hasLatinAlphabetTransliteration P34124 FINISHED
Object Yuriy 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: Yuriy | Statement: [Юрий, hasLatinAlphabetTransliteration, Yuriy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuriy
Context triple: [Юрий, hasLatinAlphabetTransliteration, Yuriy]
  • A. Yuriĭ chosen
    Yuriĭ is a given name of Slavic origin, commonly used as a variant of the name Yuri.
  • B. 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.
  • C. Yuri Filipchenko
    Yuri Filipchenko was a Russian geneticist and entomologist who helped establish genetics as a scientific discipline in Russia and influenced early evolutionary biology.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • 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_69f78ae008788190b3ebc09e73ec4952 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:48 p.m.