Triple

T12511687
Position Surface form Disambiguated ID Type / Status
Subject PSIS Semarang E299093 entity
Predicate nickname P55 FINISHED
Object Mahesa Jenar
Mahesa Jenar is the popular nickname of Indonesian football club PSIS Semarang, reflecting its local cultural and historical identity.
E986947 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: Mahesa Jenar | Statement: [PSIS Semarang, nickname, Mahesa Jenar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahesa Jenar
Context triple: [PSIS Semarang, nickname, Mahesa Jenar]
  • A. Marsio Juwono
    Marsio Juwono is a film director known for collaborating with other filmmakers, including co-directing projects with Jeff Renfroe.
  • B. Alan Budikusuma
    Alan Budikusuma is an Indonesian badminton player best known for winning the men's singles gold medal at the 1992 Barcelona Olympic Games.
  • C. Husein Sastranegara
    Husein Sastranegara was an Indonesian Air Force officer after whom the international airport in Bandung, West Java, is named.
  • D. Sutomo
    Sutomo, better known as Bung Tomo, was an Indonesian nationalist leader and radio orator who became a symbol of resistance during the Indonesian National Revolution.
  • E. Agus Subiyanto
    Agus Subiyanto is an Indonesian military general who serves as the chief of the country's armed forces.
  • 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: Mahesa Jenar
Triple: [PSIS Semarang, nickname, Mahesa Jenar]
Generated description
Mahesa Jenar is the popular nickname of Indonesian football club PSIS Semarang, reflecting its local cultural and historical identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mahesa Jenar
Target entity description: Mahesa Jenar is the popular nickname of Indonesian football club PSIS Semarang, reflecting its local cultural and historical identity.
  • A. Marsio Juwono
    Marsio Juwono is a film director known for collaborating with other filmmakers, including co-directing projects with Jeff Renfroe.
  • B. Alan Budikusuma
    Alan Budikusuma is an Indonesian badminton player best known for winning the men's singles gold medal at the 1992 Barcelona Olympic Games.
  • C. Husein Sastranegara
    Husein Sastranegara was an Indonesian Air Force officer after whom the international airport in Bandung, West Java, is named.
  • D. Sutomo
    Sutomo, better known as Bung Tomo, was an Indonesian nationalist leader and radio orator who became a symbol of resistance during the Indonesian National Revolution.
  • E. Agus Subiyanto
    Agus Subiyanto is an Indonesian military general who serves as the chief of the country's armed forces.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541d6e508190a4992f328e077467 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb94d608190aae4c8ec39556362 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce1b0ec8190bcbd245255e548b5 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64da735f48190b051ce173c13e5b2 completed May 2, 2026, 7:16 p.m.
Created at: April 8, 2026, 9:57 p.m.