Triple

T5998098
Position Surface form Disambiguated ID Type / Status
Subject FK Partizan E133522 entity
Predicate nickname P55 FINISHED
Object Crno-beli
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.
 E560501 NE FINISHED

How this triple was built (4 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: [FK Partizan, nickname, Crno-beli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crno-beli
Context triple: [FK Partizan, nickname, Crno-beli]
  • A. 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.
  • B. 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.
  • C. Plavi
    Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
  • D. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • E. La Bicolor
    La Bicolor is the popular nickname of the Guatemala national football team, referring to its traditional two-colored kit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Crno-beli
Triple: [FK Partizan, nickname, Crno-beli]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crno-beli
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Plavi
    Plavi is the popular nickname of FK Željezničar Sarajevo, a prominent Bosnian football club known for its blue team colors.
  • D. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • E. La Bicolor
    La Bicolor is the popular nickname of the Guatemala national football team, referring to its traditional two-colored kit.
  • F. None of above. chosen

Provenance (5 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee274e08190b6478c7ae318ae48 completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1087d08f081909842940a28bddb35 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1094d6d408190abde0d2e582c15a5 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c109c333208190b90911e0cab58377 completed March 23, 2026, 9:37 a.m.
Created at: March 22, 2026, 4:05 p.m.