Triple

T11563189
Position Surface form Disambiguated ID Type / Status
Subject Pakistan Air Force Academy E274191 entity
Predicate affiliation P10 FINISHED
Object National University of Sciences and Technology (NUST)
The National University of Sciences and Technology (NUST) is a leading Pakistani public research university renowned for its programs in engineering, technology, and applied sciences, with strong ties to the country’s defense and industrial sectors.
E935317 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: National University of Sciences and Technology (NUST) | Statement: [Pakistan Air Force Academy, affiliation, National University of Sciences and Technology (NUST)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National University of Sciences and Technology (NUST)
Context triple: [Pakistan Air Force Academy, affiliation, National University of Sciences and Technology (NUST)]
  • A. National University of Science and Technology (NUST)
    The National University of Science and Technology (NUST) is a leading Zimbabwean public university renowned for its focus on science, technology, engineering, and innovation.
  • B. Quaid-e-Awam University of Engineering, Science and Technology
    Quaid-e-Awam University of Engineering, Science and Technology is a public engineering and science university located in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
  • C. NUST
    NUST is a public university in Namibia specializing in science, technology, engineering, and related applied fields.
  • D. University of Engineering and Technology, Lahore
    The University of Engineering and Technology, Lahore is one of Pakistan’s oldest and most prestigious public engineering universities, renowned for its rigorous programs in engineering, technology, and applied sciences.
  • E. COMSATS University Islamabad
    COMSATS University Islamabad is a leading public research university in Pakistan known for its strong programs in science, engineering, and information technology.
  • 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: National University of Sciences and Technology (NUST)
Triple: [Pakistan Air Force Academy, affiliation, National University of Sciences and Technology (NUST)]
Generated description
The National University of Sciences and Technology (NUST) is a leading Pakistani public research university renowned for its programs in engineering, technology, and applied sciences, with strong ties to the country’s defense and industrial sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: National University of Sciences and Technology (NUST)
Target entity description: The National University of Sciences and Technology (NUST) is a leading Pakistani public research university renowned for its programs in engineering, technology, and applied sciences, with strong ties to the country’s defense and industrial sectors.
  • A. National University of Science and Technology (NUST)
    The National University of Science and Technology (NUST) is a leading Zimbabwean public university renowned for its focus on science, technology, engineering, and innovation.
  • B. Quaid-e-Awam University of Engineering, Science and Technology
    Quaid-e-Awam University of Engineering, Science and Technology is a public engineering and science university located in Nawabshah, Sindh, Pakistan, known for its programs in engineering, technology, and applied sciences.
  • C. NUST
    NUST is a public university in Namibia specializing in science, technology, engineering, and related applied fields.
  • D. University of Engineering and Technology, Lahore
    The University of Engineering and Technology, Lahore is one of Pakistan’s oldest and most prestigious public engineering universities, renowned for its rigorous programs in engineering, technology, and applied sciences.
  • E. COMSATS University Islamabad
    COMSATS University Islamabad is a leading public research university in Pakistan known for its strong programs in science, engineering, and information technology.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713bcc0048190bec14ac4ab84d51d completed April 21, 2026, 6:05 a.m.
NEDg Description generation batch_69e720f4015c81909ba7973c3e781985 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e75a7a04c88190bb8f3dd3f3e435ef completed April 21, 2026, 11:07 a.m.
Created at: April 8, 2026, 9:37 p.m.