Triple

T1317914
Position Surface form Disambiguated ID Type / Status
Subject Gagarin Cup E28147 entity
Predicate notableWinner P2766 FINISHED
Object CSKA Moscow E28149 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: CSKA Moscow | Statement: [Gagarin Cup, notableWinner, CSKA Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSKA Moscow
Context triple: [Gagarin Cup, notableWinner, CSKA Moscow]
  • A. CSKA Moscow chosen
    CSKA Moscow is a major Russian sports club best known for its successful football and basketball teams and intense rivalries with other Moscow clubs.
  • B. 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.
  • C. 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.
  • D. Dinamo Riga
    Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
  • E. 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.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c176c89881909e9dc0e34f12f056 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad231f92bc8190be41c30adb022b65 completed March 8, 2026, 7:19 a.m.
Created at: March 1, 2026, 7:55 p.m.