Triple

T838443
Position Surface form Disambiguated ID Type / Status
Subject Valeri Kamensky E18122 entity
Predicate playedFor P2170 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: [Valeri Kamensky, playedFor, CSKA Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSKA Moscow
Context triple: [Valeri Kamensky, playedFor, 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. 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.
  • E. FC Dynamo Bryansk
    FC Dynamo Bryansk is a Russian professional football club based in Bryansk that has primarily competed in the lower tiers of the national 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abd0e8bc8190afe29cd4745c2f86 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b8c9b081908fd04ac23d45e932 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.