Triple

T17802730
Position Surface form Disambiguated ID Type / Status
Subject Harbin Institute of Technology E444473 entity
Predicate hasFaculty P141 FINISHED
Object School of Energy Science and 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: School of Energy Science and Engineering | Statement: [Harbin Institute of Technology, hasFaculty, School of Energy Science and Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Energy Science and Engineering
Context triple: [Harbin Institute of Technology, hasFaculty, School of Energy Science and Engineering]
  • A. School of Energy and Power Engineering
    The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
  • B. School of Energy and Environment
    The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
  • C. 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.
  • 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. School of Energy Research
    The School of Energy Research is an academic and research division of the Indian Association for the Cultivation of Science focused on advanced studies in energy science and technology.
  • 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 Energy Science and Engineering
Target entity description: 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.
  • A. School of Energy and Power Engineering
    The School of Energy and Power Engineering is a specialized academic unit of Xi'an Jiaotong University focused on education and research in energy systems, power engineering, and related technologies.
  • B. School of Energy and Environment
    The School of Energy and Environment is an academic unit at City University of Hong Kong focused on education and research in sustainable energy, environmental science, and related technologies.
  • C. 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.
  • 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. School of Energy Research
    The School of Energy Research is an academic and research division of the Indian Association for the Cultivation of Science focused on advanced studies in energy science and technology.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880171608190be2088c7a387bfb7 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.