Triple

T1318005
Position Surface form Disambiguated ID Type / Status
Subject CSKA Moscow E28149 entity
Predicate shortName P43 FINISHED
Object CSKA 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 | Statement: [CSKA Moscow, shortName, CSKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSKA
Context triple: [CSKA Moscow, shortName, CSKA]
  • 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. 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.
  • D. 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.
  • E. 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.
  • 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_69ad718af9a08190b16c7df72d1ef1d3 completed March 8, 2026, 12:54 p.m.
Created at: March 1, 2026, 7:55 p.m.