Triple

T6694851
Position Surface form Disambiguated ID Type / Status
Subject Salavat Yulaev Ufa E152722 entity
Predicate namedAfter P63 FINISHED
Object Salavat Yulaev E612598 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: Salavat Yulaev | Statement: [Salavat Yulaev Ufa, namedAfter, Salavat Yulaev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salavat Yulaev
Context triple: [Salavat Yulaev Ufa, namedAfter, Salavat Yulaev]
  • A. Salavat Yulaev chosen
    Salavat Yulaev is a professional ice hockey club from Ufa, Russia, that competes in the Kontinental Hockey League (KHL).
  • B. Georgy Sofronov
    Georgy Sofronov was a Soviet military commander best known for leading Red Army forces in the defense of Odessa during World War II.
  • C. Fyodor Golovin
    Fyodor Golovin was a prominent Russian statesman and diplomat under Peter the Great, noted for helping shape Russia’s early Western-oriented reforms and foreign policy.
  • D. Albert Shiryaev
    Albert Shiryaev is a prominent Russian mathematician known for his influential work in probability theory, stochastic processes, and mathematical finance.
  • E. Aleksandr Vasilevsky
    Aleksandr Vasilevsky was a prominent Soviet military leader and Marshal of the Soviet Union who played a key strategic role in major Eastern Front operations during World War II.
  • 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b196b300819095a194195ef9bd11 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007d2cb881909cebe2ab0d55ce3d completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:05 p.m.