Triple

T5902354
Position Surface form Disambiguated ID Type / Status
Subject Robert Prosinečki E131257 entity
Predicate playedFor P2170 FINISHED
Object Red Star Belgrade E134987 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: [Robert Prosinečki, playedFor, Red Star Belgrade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Star Belgrade
Context triple: [Robert Prosinečki, playedFor, Red Star Belgrade]
  • A. KK Partizan
    KK Partizan is a prominent Serbian professional basketball club based in Belgrade, renowned for its success in domestic and European competitions.
  • B. Dinamo
    Dinamo is a Moscow Metro station named after the nearby Dynamo sports complex and stadium, serving passengers on the Zamoskvoretskaya Line.
  • C. FK Crvena zvezda chosen
    FK Crvena zvezda is a major Serbian professional football club based in Belgrade, best known internationally as Red Star Belgrade and for winning the 1991 European Cup.
  • D. NK Lokomotiva
    NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
  • E. FK Partizan
    FK Partizan is a major Serbian professional football club based in Belgrade, known for its long-standing rivalry with Red Star Belgrade and its prominent role in domestic and European competitions.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03735e6f8819084eded3b45f5e4ed completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16297588190928693a7c31ec0a7 completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:58 p.m.