Triple

T1343530
Position Surface form Disambiguated ID Type / Status
Subject Lokomotiv Yaroslavl E28518 entity
Predicate shortName P43 FINISHED
Object Lokomotiv E28518 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: Lokomotiv | Statement: [Lokomotiv Yaroslavl, shortName, Lokomotiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lokomotiv
Context triple: [Lokomotiv Yaroslavl, shortName, Lokomotiv]
  • A. 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.
  • B. Dinamo Riga
    Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
  • C. Avangard Omsk
    Avangard Omsk is a prominent professional ice hockey club from Omsk, Russia, known as one of the country’s most successful and historically significant teams.
  • D. Lokomotiv Yaroslavl chosen
    Lokomotiv Yaroslavl is a professional ice hockey club from Yaroslavl, Russia, best known for competing in the Kontinental Hockey League (KHL) and for its storied history and passionate fan base.
  • E. Metallurg Magnitogorsk
    Metallurg Magnitogorsk is a prominent Russian professional ice hockey club based in Magnitogorsk, known for its success in domestic and international 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc632cbc88190a64897f1b101c699 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.