Triple

T6812549
Position Surface form Disambiguated ID Type / Status
Subject Mykola E156670 entity
Predicate writtenAs P2203 FINISHED
Object Микола E156670 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: Микола | Statement: [Mykola, writtenAs, Микола]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Микола
Context triple: [Mykola, writtenAs, Микола]
  • A. Mykola chosen
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • B. Oleksiy
    Oleksiy is a common Ukrainian male given name, equivalent to Alexei or Alexey in Russian and Alexius in Latin.
  • C. Yevhen
    Yevhen is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • D. Dmytrii
    Dmytrii is a masculine given name of Slavic origin, related to the Greek name Demetrius and commonly used in Eastern European cultures.
  • E. Oleksandr
    Oleksandr is the Ukrainian form of the given name Alexander, commonly used in Ukraine and among Ukrainian speakers.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.