Triple

T2355387
Position Surface form Disambiguated ID Type / Status
Subject Oleg Znarok E47540 entity
Predicate coachedTeam P2169 FINISHED
Object Dynamo Moscow E4798 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 Moscow | Statement: [Oleg Znarok, coachedTeam, Dynamo Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamo Moscow
Context triple: [Oleg Znarok, coachedTeam, Dynamo Moscow]
  • A. Dynamo Moscow chosen
    Dynamo Moscow is a prominent Russian professional ice hockey club based in Moscow, historically known for developing elite players such as Alex Ovechkin.
  • B. BC Dynamo Moscow
    BC Dynamo Moscow is a professional basketball club from Moscow, Russia, historically associated with the Dynamo sports society and known for competing in national and European competitions.
  • C. FC Dynamo Moscow
    FC Dynamo Moscow is one of Russia’s oldest and most storied football clubs, based in Moscow and historically known for its strong domestic and European performances.
  • D. Lokomotiv Moscow
    Lokomotiv Moscow is a major Russian professional football club from Moscow, known for competing in the Russian Premier League and being one of the city’s traditional powerhouses.
  • E. Dynamo Minsk
    Dynamo Minsk is a professional sports club from Minsk, Belarus, best known for its football team competing in the country’s top league and European competitions.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c37c448190b2d1fd5c404e0050 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:54 p.m.