Triple

T22940992
Position Surface form Disambiguated ID Type / Status
Subject Aleksandar Petrović E569726 entity
Predicate coachOfSportsTeam P2169 FINISHED
Object KK Zadar NE NERFINISHED

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: KK Zadar | Statement: [Aleksandar Petrović, coachOfSportsTeam, KK Zadar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KK Zadar
Context triple: [Aleksandar Petrović, coachOfSportsTeam, KK Zadar]
  • A. KK Zadar chosen
    KK Zadar is a Croatian professional basketball club from the city of Zadar, historically one of the country’s most successful and influential teams.
  • B. NK Zadar
    NK Zadar is a Croatian football club based in the coastal city of Zadar, known for developing notable players such as Luka Modrić.
  • C. KK Osijek
    KK Osijek is a professional basketball club based in the city of Osijek, Croatia, competing in the country’s national basketball leagues.
  • D. Žarko Zrenjanin
    Žarko Zrenjanin was a Yugoslav communist partisan leader and national hero of World War II, commemorated for his resistance activities against Axis occupation.
  • E. Šarić
    Šarić is a South Slavic surname most notably borne by Croatian professional basketball player Dario Šarić.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181394fec81909da791bb346dbd0a completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.