Triple

T4196653
Position Surface form Disambiguated ID Type / Status
Subject Sergei Zubov E89168 entity
Predicate playedFor P2170 FINISHED
Object HC 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: HC CSKA Moscow | Statement: [Sergei Zubov, playedFor, HC CSKA Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HC CSKA Moscow
Context triple: [Sergei Zubov, playedFor, HC 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. PFC CSKA Sofia
    PFC CSKA Sofia is a prominent Bulgarian professional football club based in Sofia, known for its historic domestic success and participation in European competitions.
  • C. Zenit Saint Petersburg
    Zenit Saint Petersburg is a leading Russian professional football club based in Saint Petersburg, known for its domestic league titles, European success, and strong rivalry with Moscow teams.
  • 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. 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.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035f9f788190a4bcfeda646fbebf completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0ff2a08190ac7f89d306454ab8 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.