Triple

T22407297
Position Surface form Disambiguated ID Type / Status
Subject Federal University of Technology Akure E553909 entity
Predicate hasFaculty P141 FINISHED
Object School of Sciences 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: School of Sciences | Statement: [Federal University of Technology Akure, hasFaculty, School of Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Sciences
Context triple: [Federal University of Technology Akure, hasFaculty, School of Sciences]
  • A. School of Sciences
    The School of Sciences is an academic division of EAFIT University dedicated to education and research in core scientific disciplines.
  • B. School of Sciences
    The School of Sciences is a core academic division of Tsinghua University that focuses on fundamental scientific research and education in disciplines such as mathematics, physics, and chemistry.
  • C. School of Sciences
    The School of Sciences at Christian Brothers University is an academic division focused on undergraduate and graduate education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
  • D. School of Sciences
    The School of Sciences is an academic division of Northeastern University (China) that focuses on fundamental scientific disciplines such as mathematics, physics, and related fields.
  • E. School of Sciences
    The School of Sciences at the Indian Institute of Technology Guwahati is an academic division that focuses on foundational and advanced education and research in core 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: School of Sciences
Target entity description: The School of Sciences is a core academic faculty of the Federal University of Technology Akure that focuses on foundational and applied scientific disciplines.
  • A. School of Sciences
    The School of Sciences is an academic division of Tezpur University that focuses on teaching and research in core scientific disciplines.
  • B. School of Sciences
    The School of Sciences is an academic division of Nkumba University that focuses on teaching and research in scientific disciplines.
  • C. School of Sciences
    The School of Sciences is an academic division of EAFIT University dedicated to education and research in core scientific disciplines.
  • D. School of Sciences
    The School of Sciences is an academic division of Fujian Normal University dedicated to education and research in fundamental scientific disciplines.
  • E. School of Sciences
    The School of Sciences is a core academic division of Tsinghua University that focuses on fundamental scientific research and education in disciplines such as mathematics, physics, and chemistry.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158ba1c6481908e4b9b3635ed3a49 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.