Triple

T22983508
Position Surface form Disambiguated ID Type / Status
Subject Nikola Peković E571534 entity
Predicate playedFor P2170 FINISHED
Object KK Mega Basket 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 Mega Basket | Statement: [Nikola Peković, playedFor, KK Mega Basket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KK Mega Basket
Context triple: [Nikola Peković, playedFor, KK Mega Basket]
  • A. KK Mega Basket chosen
    KK Mega Basket is a Serbian professional basketball club known for developing young talent, including future NBA star Nikola Jokić.
  • B. Mega Basket
    Mega Basket is a Serbian professional basketball club renowned for developing NBA-caliber talent, including star center Nikola Jokić.
  • C. KK Cibona
    KK Cibona is a prominent Croatian professional basketball club from Zagreb, historically renowned as one of Europe’s elite teams and for developing legendary players like Dražen Petrović.
  • D. KK Cedevita Olimpija
    KK Cedevita Olimpija is a professional basketball club from Ljubljana, Slovenia, competing in domestic and regional leagues including the ABA League and European competitions.
  • E. Mosta Basketball Club
    Mosta Basketball Club is a Maltese basketball team representing the town of Mosta in national basketball competitions.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829775e881909c5d6d35d3fd57f7 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.