Triple

T23035448
Position Surface form Disambiguated ID Type / Status
Subject Mirpur E573580 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Military Institute of Science and Technology — NE NERFINISHED

How this triple was built (3 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: Military Institute of Science and Technology | Statement: [Mirpur, hasEducationalInstitution, Military Institute of Science and Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Military Institute of Science and Technology
Context triple: [Mirpur, hasEducationalInstitution, Military Institute of Science and Technology]
  • A. College of Military Engineering
    The College of Military Engineering is a premier training and research institution of the Indian Army that specializes in combat engineering, infrastructure development, and military technology.
  • B. Defence College of Technical Training
    The Defence College of Technical Training is a United Kingdom military training institution responsible for delivering specialist technical education and professional development across the armed forces.
  • C. University of Defence
    The University of Defence is a Czech military higher education institution that provides university-level training and research for the armed forces and security sectors.
  • D. Akademi Militer
    Akademi Militer is Indonesia’s national military academy responsible for training and educating future officers of the Indonesian Army.
  • E. Military Academy of Communications
    The Military Academy of Communications was a key Soviet higher education institution specializing in training officers and conducting research in military communications and related technologies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Military Institute of Science and Technology
Target entity description: The Military Institute of Science and Technology is a leading public engineering and technological university run by the Bangladesh Armed Forces, known for training military and civilian students in Mirpur, Dhaka.
  • A. College of Military Engineering
    The College of Military Engineering is a premier training and research institution of the Indian Army that specializes in combat engineering, infrastructure development, and military technology.
  • B. Defence College of Technical Training
    The Defence College of Technical Training is a United Kingdom military training institution responsible for delivering specialist technical education and professional development across the armed forces.
  • C. University of Defence
    The University of Defence is a Czech military higher education institution that provides university-level training and research for the armed forces and security sectors.
  • D. Akademi Militer
    Akademi Militer is Indonesia’s national military academy responsible for training and educating future officers of the Indonesian Army.
  • E. Military Academy of Communications
    The Military Academy of Communications was a key Soviet higher education institution specializing in training officers and conducting research in military communications and related technologies.
  • F. None of above. chosen

Provenance (2 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.