Triple

T2734292
Position Surface form Disambiguated ID Type / Status
Subject Persebaya Surabaya E60591 entity
Predicate hasFanBase P897 FINISHED
Object Bonek
Bonek is the passionate and famously fervent supporter group of the Indonesian football club Persebaya Surabaya.
 E292008 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: Bonek | Statement: [Persebaya Surabaya, hasFanBase, Bonek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonek
Context triple: [Persebaya Surabaya, hasFanBase, Bonek]
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • C. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • D. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • E. Magpet
    Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • 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: Bonek
Triple: [Persebaya Surabaya, hasFanBase, Bonek]
Generated description
Bonek is the passionate and famously fervent supporter group of the Indonesian football club Persebaya Surabaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonek
Target entity description: Bonek is the passionate and famously fervent supporter group of the Indonesian football club Persebaya Surabaya.
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • C. Bubi
    Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
  • D. Bubi
    Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
  • E. Magpet
    Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6a15e548190a118880f9904f9cc completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb78d9f0c8190ad276922aa19945d completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb7e8a8548190b5b4e7772e0adcf6 completed March 10, 2026, 6:19 a.m.
Created at: March 6, 2026, 9:56 p.m.