Triple

T11476766
Position Surface form Disambiguated ID Type / Status
Subject Zico E272041 entity
Predicate managedTeam P3234 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: [Zico, managedTeam, CSKA Moscow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSKA Moscow
Context triple: [Zico, managedTeam, 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. Basketball Club Dynamo Moscow
    Basketball Club Dynamo Moscow is a Russian professional basketball team based in Moscow, historically known for competing in domestic and European competitions.
  • C. 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.
  • D. 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.
  • E. BC Khimki
    BC Khimki is a professional basketball club from Khimki, Russia, known for competing in top domestic leagues and European competitions such as the EuroLeague.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:36 p.m.