Triple

T6145678
Position Surface form Disambiguated ID Type / Status
Subject KK Partizan E137069 entity
Predicate nickname P55 FINISHED
Object Crno-beli E560501 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: Crno-beli | Statement: [KK Partizan, nickname, Crno-beli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crno-beli
Context triple: [KK Partizan, nickname, Crno-beli]
  • A. Crno-beli chosen
    Crno-beli is the widely used nickname for FK Partizan, one of Serbia’s most prominent football clubs, referring to its traditional black-and-white team colors.
  • B. Bianco e Nero
    Bianco e Nero is an Italian film magazine historically associated with the Fascist-era cultural milieu and later known for its critical and scholarly coverage of cinema.
  • C. Black-and-Red
    Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
  • D. Plavi
    Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
  • E. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdd2dc0819080a4adf0cead3603 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135fe8ae48190bfb20c335c7d32be completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.