Triple

T21084220
Position Surface form Disambiguated ID Type / Status
Subject Iranian universities E519444 entity
Predicate includeInstitution P3814 FINISHED
Object K. N. Toosi University of 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: K. N. Toosi University of Technology | Statement: [Iranian universities, includeInstitution, K. N. Toosi University of Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K. N. Toosi University of Technology
Context triple: [Iranian universities, includeInstitution, K. N. Toosi University of Technology]
  • A. Sharif University of Technology
    Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
  • B. Amirkabir University of Technology
    Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
  • C. Isfahan University of Technology
    Isfahan University of Technology is a major public research university in Isfahan, Iran, known for its strong engineering, science, and technology programs.
  • D. Iran University of Science and Technology
    Iran University of Science and Technology is a leading public research university in Tehran, Iran, renowned for its engineering and technological programs.
  • E. Tarbiat Modares University
    Tarbiat Modares University is a leading Iranian graduate-only public research university in Tehran, known for training specialists and academics across a wide range of disciplines.
  • 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: K. N. Toosi University of Technology
Target entity description: K. N. Toosi University of Technology is a prominent public engineering and technology university in Tehran, Iran, known for its strong research output and specialized technical programs.
  • A. Sharif University of Technology
    Sharif University of Technology is a leading Iranian public research university in Tehran, renowned for its rigorous engineering and science programs and highly competitive admissions.
  • B. Amirkabir University of Technology
    Amirkabir University of Technology is one of Iran’s leading and oldest engineering and technical universities, renowned for its strong research output and rigorous academic programs.
  • C. Isfahan University of Technology
    Isfahan University of Technology is a major public research university in Isfahan, Iran, known for its strong engineering, science, and technology programs.
  • D. Iran University of Science and Technology
    Iran University of Science and Technology is a leading public research university in Tehran, Iran, renowned for its engineering and technological programs.
  • E. Tarbiat Modares University
    Tarbiat Modares University is a leading Iranian graduate-only public research university in Tehran, known for training specialists and academics across a wide range of disciplines.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70948704481908b8b75a2ecc42bb6 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:49 p.m.