Triple

T4602178
Position Surface form Disambiguated ID Type / Status
Subject FC Dynamo Kyiv E100344 entity
Predicate shortName P43 FINISHED
Object Dynamo Kyiv E100344 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: Dynamo Kyiv | Statement: [FC Dynamo Kyiv, shortName, Dynamo Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo Kyiv
Context triple: [FC Dynamo Kyiv, shortName, Dynamo Kyiv]
  • A. FC Dynamo Kyiv chosen
    FC Dynamo Kyiv is a historically successful Ukrainian professional football club renowned for its domestic dominance and strong performances in European competitions.
  • B. FC Shakhtar Donetsk
    FC Shakhtar Donetsk is a leading Ukrainian professional football club, renowned for its domestic league success and regular participation in European competitions.
  • C. HC Dynamo Kharkiv
    HC Dynamo Kharkiv is a professional ice hockey club based in Kharkiv, Ukraine.
  • D. SC Dnipro-1
    SC Dnipro-1 is a Ukrainian professional football club based in Dnipro that competes in the country’s top league.
  • E. BC Dnipro
    BC Dnipro is a professional basketball club based in Dnipro, Ukraine, competing in the country’s top basketball league.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd597462c08190bcdb3efd880778b1 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa60b3348190ac8e28f9e78e1d99 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.