Triple

T8222673
Position Surface form Disambiguated ID Type / Status
Subject Miková E192100 entity
Predicate hasNameInLanguage P15 FINISHED
Object Микова (Rusyn) E192100 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: Микова (Rusyn) | Statement: [Miková, hasNameInLanguage, Микова (Rusyn)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Микова (Rusyn)
Context triple: [Miková, hasNameInLanguage, Микова (Rusyn)]
  • A. Miková chosen
    Miková is a small village in northeastern Slovakia, notable as the birthplace of Julia Warhola, mother of artist Andy Warhol.
  • B. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • C. Mironovich
    Mironovich is a Russian patronymic derived from the male given name Miron, indicating "son of Miron."
  • D. Mykyta (Ukrainian form)
    Mykyta is the Ukrainian form of the given name Nikita, commonly used for males in Ukraine.
  • E. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cae2948190ae4507b75b5d5784 completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee09ac548190a9988ff77d43e77e completed April 1, 2026, 10:06 a.m.
Created at: March 30, 2026, 5:45 p.m.