Triple

T12252615
Position Surface form Disambiguated ID Type / Status
Subject Bonek movement E292011 entity
Predicate hasAlternativeName P39 FINISHED
Object Bondo Nekat
Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
E972569 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: Bondo Nekat | Statement: [Bonek movement, hasAlternativeName, Bondo Nekat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bondo Nekat
Context triple: [Bonek movement, hasAlternativeName, Bondo Nekat]
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bindo
    Bindo is an Italian given name, notably borne by Bindo Maserati, a member of the family behind the Maserati automobile marque.
  • C. Bando
    Bando is a surname most notably associated with Sal Bando, an American Major League Baseball third baseman and executive.
  • D. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • E. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • 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: Bondo Nekat
Triple: [Bonek movement, hasAlternativeName, Bondo Nekat]
Generated description
Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bondo Nekat
Target entity description: Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bindo
    Bindo is an Italian given name, notably borne by Bindo Maserati, a member of the family behind the Maserati automobile marque.
  • C. Bando
    Bando is a surname most notably associated with Sal Bando, an American Major League Baseball third baseman and executive.
  • D. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • E. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc849308190b6ff416f8b4f01e8 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abdc5988190a19104385f54fb06 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:52 p.m.