Triple

T19934583
Position Surface form Disambiguated ID Type / Status
Subject Vadym Prystaiko E479141 entity
Predicate familyName P18 FINISHED
Object Prystaiko NE NERFINISHED

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: Prystaiko | Statement: [Vadym Prystaiko, familyName, Prystaiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prystaiko
Context triple: [Vadym Prystaiko, familyName, Prystaiko]
  • A. Prystaiko chosen
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • B. Prasne
    Prasne is a notable literary work by renowned Indian writer U. R. Ananthamurthy, associated with modern Kannada literature.
  • C. Prauliena
    Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
  • D. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • E. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a161a6c819084165ea528ec2f64 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.