Triple

T1317999
Position Surface form Disambiguated ID Type / Status
Subject CSKA Moscow E28149 entity
Predicate hasRival P1375 FINISHED
Object Spartak Moscow E28304 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: Spartak Moscow | Statement: [CSKA Moscow, hasRival, Spartak Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spartak Moscow
Context triple: [CSKA Moscow, hasRival, Spartak Moscow]
  • A. Spartak Moscow chosen
    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.
  • B. 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.
  • C. FC Krylia Sovetov Moscow
    FC Krylia Sovetov Moscow was a Soviet-era football club based in Moscow that competed in the USSR football league system.
  • D. 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.
  • E. CSKA Moscow
    CSKA Moscow is a major Russian sports club best known for its successful football and basketball teams and intense rivalries with other Moscow clubs.
  • 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_69ad58abdeb4819097000c1b2cf19538 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 7:55 p.m.