Triple

T18576045
Position Surface form Disambiguated ID Type / Status
Subject University of Nigeria, Nsukka E453989 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: [University of Nigeria, Nsukka, hasFaculty, Faculty of Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering
Context triple: [University of Nigeria, Nsukka, hasFaculty, Faculty of Engineering]
  • A. Faculty of Engineering
    The Faculty of Engineering at Universitas Brawijaya is an academic division that offers engineering education and research programs across various technical disciplines.
  • B. Faculty of Engineering
    The Faculty of Engineering at Nagaoka University of Technology is an academic division specializing in advanced engineering education and research across multiple technical disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at the University of Nottingham is an academic division that offers engineering education and conducts research across multiple engineering disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Hong Kong is a leading engineering school in Asia, offering a wide range of undergraduate and postgraduate programs and conducting research across major engineering disciplines.
  • E. Faculty of Engineering
    The Faculty of Engineering at the University of Trento is an academic division that offers engineering education and conducts research across various technological and scientific 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: Faculty of Engineering
Target entity description: The Faculty of Engineering at the University of Nigeria, Nsukka is an academic division that offers engineering education and research across multiple engineering disciplines within the university.
  • A. Faculty of Engineering chosen
    The Faculty of Engineering at the University of Nigeria, Nsukka is an academic division that offers undergraduate and postgraduate programs in various engineering disciplines, contributing to technological education and research in Nigeria.
  • B. Faculty of Engineering
    The Faculty of Engineering is an academic division of Enugu State University of Science and Technology that offers engineering education, training, and research across various engineering disciplines.
  • C. Faculty of Engineering
    The Faculty of Engineering at the University of Newcastle is an academic division that provides engineering education and conducts research across various engineering disciplines.
  • D. Faculty of Engineering
    The Faculty of Engineering at the University of Nottingham is an academic division that offers engineering education and conducts research across multiple 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.

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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c9d26c8190a80dda411cd0c9ac completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.