Triple

T20971064
Position Surface form Disambiguated ID Type / Status
Subject Air Operations Command III E516494 entity
Predicate abbreviation P43 FINISHED
Object Koopsud III
Koopsud III is the Indonesian Air Force’s Third Air Operations Command, responsible for overseeing and coordinating air operations within its designated region.
E1460557 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: Koopsud III | Statement: [Air Operations Command III, abbreviation, Koopsud III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koopsud III
Context triple: [Air Operations Command III, abbreviation, Koopsud III]
  • A. Koopsud I
    Koopsud I is the Indonesian Air Force’s Air Operations Command I, responsible for planning and conducting air operations within its designated area of responsibility.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Koop
    Koop is a central character in the British cult film "Human Traffic," known for his role in the story’s depiction of youth and club culture.
  • D. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • E. Kokopop
    Kokopop is an independent record label known for releasing music by the experimental rock band Free Kitten.
  • 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: Koopsud III
Triple: [Air Operations Command III, abbreviation, Koopsud III]
Generated description
Koopsud III is the Indonesian Air Force’s Third Air Operations Command, responsible for overseeing and coordinating air operations within its designated region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koopsud III
Target entity description: Koopsud III is the Indonesian Air Force’s Third Air Operations Command, responsible for overseeing and coordinating air operations within its designated region.
  • A. Koopsud I
    Koopsud I is the Indonesian Air Force’s Air Operations Command I, responsible for planning and conducting air operations within its designated area of responsibility.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Koop
    Koop is a central character in the British cult film "Human Traffic," known for his role in the story’s depiction of youth and club culture.
  • D. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • E. Kokopop
    Kokopop is an independent record label known for releasing music by the experimental rock band Free Kitten.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba027708190a49e95b0031d980d completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fb3e5088190bf842c0e7aabc14d completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930a5cffc8190a7d1cc19e5cacf49 completed May 17, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a093133c77c8190a9e0326980c7717f completed May 17, 2026, 3:08 a.m.
Created at: April 16, 2026, 1:43 p.m.