Triple

T1291199
Position Surface form Disambiguated ID Type / Status
Subject Dynamo sports society E27549 entity
Predicate hasClub P28155 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: [Dynamo sports society, hasClub, Dynamo Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo Kyiv
Context triple: [Dynamo sports society, hasClub, 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. Spartak Moscow
    Spartak Moscow is one of Russia’s most successful and popular football clubs, historically known as the “people’s team” and a major force in the Soviet and Russian leagues.
  • C. Dynamo Moscow
    Dynamo Moscow is a prominent Russian professional ice hockey club based in Moscow, historically known for developing elite players such as Alex Ovechkin.
  • D. HC Dukla Trenčín
    HC Dukla Trenčín is a professional ice hockey club from Trenčín, Slovakia, known for developing numerous NHL players including Zdeno Chára.
  • E. Dinamo Riga
    Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c48bec548190b25d4a74b323cc1b completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacbf0cf48190937f620900b08d3f completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.