Triple

T20548091
Position Surface form Disambiguated ID Type / Status
Subject Nangarhar University E504525 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Engineering 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: Faculty of Engineering | Statement: [Nangarhar University, hasFaculty, Faculty of Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering
Context triple: [Nangarhar University, hasFaculty, Faculty of Engineering]
  • A. Faculty of Engineering
    The Faculty of Engineering at the University of Sheffield is a major academic division encompassing multiple engineering departments that provide research-led education and innovation across a wide range of engineering disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at Universidad del Valle de Guatemala is an academic division dedicated to training engineers and conducting research across various engineering disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering is an academic division of Université Saint-Joseph de Beyrouth dedicated to engineering education and research across various technical disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Windsor is an academic division that offers engineering education and conducts research across various engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering at the University of Aleppo is an academic division that offers undergraduate and graduate programs in various engineering disciplines and conducts related research and professional training.
  • 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: Faculty of Engineering
Target entity description: The Faculty of Engineering at Nangarhar University is an academic division that offers engineering education and training to undergraduate and possibly graduate students in eastern Afghanistan.
  • A. Faculty of Engineering
    The Faculty of Engineering at Kabul University is a major academic unit that trains engineers in various disciplines to support Afghanistan’s infrastructure and technological development.
  • B. Faculty of Engineering
    The Faculty of Engineering at Niigata University is an academic division that offers engineering education and conducts research across various technological and scientific disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at the University of Karachi is an academic division that offers undergraduate and postgraduate programs in various engineering disciplines, focusing on technical education and research.
  • D. Faculty of Engineering
    The Faculty of Engineering at Barkatullah University is an academic division that offers undergraduate and postgraduate engineering programs and conducts research in various engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering at the University of Maiduguri is an academic division that offers engineering education and conducts research in various engineering disciplines in northeastern Nigeria.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2991ac8819089b8c2d70eb88952 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.