Triple

T12511684
Position Surface form Disambiguated ID Type / Status
Subject PSIS Semarang E299093 entity
Predicate formerLeague P5927 FINISHED
Object Galatama
Galatama was Indonesia’s pioneering professional football league, active primarily in the 1980s and early 1990s.
E986945 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: Galatama | Statement: [PSIS Semarang, formerLeague, Galatama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galatama
Context triple: [PSIS Semarang, formerLeague, Galatama]
  • A. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • B. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Pagalu
    Pagalu is an alternative name for Annobón, a small volcanic island in the Gulf of Guinea that belongs to Equatorial Guinea.
  • D. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • E. Inanda
    Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
  • 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: Galatama
Triple: [PSIS Semarang, formerLeague, Galatama]
Generated description
Galatama was Indonesia’s pioneering professional football league, active primarily in the 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Galatama
Target entity description: Galatama was Indonesia’s pioneering professional football league, active primarily in the 1980s and early 1990s.
  • A. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • B. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Pagalu
    Pagalu is an alternative name for Annobón, a small volcanic island in the Gulf of Guinea that belongs to Equatorial Guinea.
  • D. Galga
    Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
  • E. Inanda
    Inanda is an affluent residential suburb within Sandton, Johannesburg, known for its leafy streets, upscale homes, and proximity to major business and shopping districts.
  • 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.