Triple

T15952145
Position Surface form Disambiguated ID Type / Status
Subject Davor Šuker E386842 entity
Predicate memberOfSportsTeam P330 FINISHED
Object NK Osijek E561605 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: NK Osijek | Statement: [Davor Šuker, memberOfSportsTeam, NK Osijek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NK Osijek
Context triple: [Davor Šuker, memberOfSportsTeam, NK Osijek]
  • A. NK Osijek chosen
    NK Osijek is a professional Croatian football club based in the city of Osijek, known for competing in the country’s top league and developing local talent.
  • B. KK Osijek
    KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
  • C. NK Zagreb
    NK Zagreb is a Croatian professional football club based in Zagreb that has competed in the country’s top leagues and developed several notable players.
  • D. NK Slaven Belupo
    NK Slaven Belupo is a Croatian professional football club that competes in the country’s top league and is based in the town of Koprivnica.
  • E. NK Lokomotiva
    NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f687dc81908d4afd43ac0b2c8e completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7ab070819090232efdeecdd5fb completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.