Triple

T23200501
Position Surface form Disambiguated ID Type / Status
Subject NPU E579991 entity
Predicate hasFaculty P141 FINISHED
Object School of Power and Energy 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 Power and Energy | Statement: [NPU, hasFaculty, School of Power and Energy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Power and Energy
Context triple: [NPU, hasFaculty, School of Power and Energy]
  • A. School of Power and Mechanical Engineering
    The School of Power and Mechanical Engineering is an academic unit of Wuhan University specializing in mechanical engineering, energy and power engineering, and related technological research and education.
  • B. School of Energy Science and Engineering
    The School of Energy Science and Engineering is a specialized academic unit of Harbin Institute of Technology focused on education and research in energy technologies and related engineering fields.
  • C. School of Energy Systems
    The School of Energy Systems is a faculty of LUT University specializing in education and research on energy technologies, systems, and sustainability.
  • D. Faculty of Energy
    The Faculty of Energy is an academic division of Volgograd State Technical University specializing in education and research in power engineering and related energy technologies.
  • E. Faculty of Energy
    The Faculty of Energy is an academic division of Yaroslavl State Technical University specializing in education and research in power engineering and related energy 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: School of Power and Energy
Target entity description: The School of Power and Energy is an academic faculty of Northwestern Polytechnical University specializing in research and education related to power, energy systems, and associated engineering technologies.
  • A. School of Power and Mechanical Engineering
    The School of Power and Mechanical Engineering is an academic unit of Wuhan University specializing in mechanical engineering, energy and power engineering, and related technological research and education.
  • B. School of Energy Science and Engineering
    The School of Energy Science and Engineering is a specialized academic unit of Harbin Institute of Technology focused on education and research in energy technologies and related engineering fields.
  • C. School of Energy Systems
    The School of Energy Systems is a faculty of LUT University specializing in education and research on energy technologies, systems, and sustainability.
  • D. Faculty of Energy
    The Faculty of Energy is an academic division of Volgograd State Technical University specializing in education and research in power engineering and related energy technologies.
  • E. Faculty of Energy
    The Faculty of Energy is an academic division of Yaroslavl State Technical University specializing in education and research in power engineering and related energy 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19078f28c8190973f1bd6f2bceb5a completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.