Triple

T12174341
Position Surface form Disambiguated ID Type / Status
Subject Milan Borjan E290050 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Red Star Belgrade E709321 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: Red Star Belgrade | Statement: [Milan Borjan, memberOfSportsTeam, Red Star Belgrade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Star Belgrade
Context triple: [Milan Borjan, memberOfSportsTeam, Red Star Belgrade]
  • A. Red Star Belgrade chosen
    Red Star Belgrade is a Serbian professional football club from Belgrade, historically one of the most successful and popular teams in the Balkans and a former European Cup winner.
  • B. Radnički Belgrade
    Radnički Belgrade is a Serbian basketball club from Belgrade known for its historical presence in Yugoslav and Serbian basketball and for developing notable coaches and players.
  • C. KK Partizan
    KK Partizan is a prominent Serbian professional basketball club based in Belgrade, renowned for its success in domestic and European competitions.
  • D. Dinamo
    Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
  • E. Dinamo
    Dinamo is a Romanian professional football club based in Bucharest, known for its rich history and passionate fan base.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dc71788190bdaadf7be9d8d6ce completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a9482481909500c216f23fceb4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.