Triple

T6548997
Position Surface form Disambiguated ID Type / Status
Subject Indonesian National Armed Forces E151080 entity
Predicate hasSpecialForcesUnit P1198 FINISHED
Object Paskhas
Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
 E604569 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: Paskhas | Statement: [Indonesian National Armed Forces, hasSpecialForcesUnit, Paskhas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paskhas
Context triple: [Indonesian National Armed Forces, hasSpecialForcesUnit, Paskhas]
  • A. Pachnes
    Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
  • B. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • C. Punascha
    Punascha is a notable section or facility within the Uttarayan Complex, part of the Visva-Bharati campus at Santiniketan associated with Rabindranath Tagore’s legacy.
  • D. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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: Paskhas
Triple: [Indonesian National Armed Forces, hasSpecialForcesUnit, Paskhas]
Generated description
Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paskhas
Target entity description: Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
  • A. Pachnes
    Pachnes is one of the highest mountain peaks in Crete, Greece, located in the rugged White Mountains range.
  • B. Piro
    Piro is a town in the Bhojpur district of Bihar, India, known as one of the district’s principal urban and commercial centers.
  • C. Punascha
    Punascha is a notable section or facility within the Uttarayan Complex, part of the Visva-Bharati campus at Santiniketan associated with Rabindranath Tagore’s legacy.
  • D. Prasuni
    Prasuni is a Nuristani language spoken by a small community in the remote valleys of eastern Afghanistan.
  • E. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae037c488190b9441f9a9e7a69b6 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d54e11fc81909aa135d7c0f2c193 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d83b53e48190881a3e1e8fa8b168 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.