Triple

T20369035
Position Surface form Disambiguated ID Type / Status
Subject LUT University E496995 entity
Predicate hasFaculty P141 FINISHED
Object School of Energy Systems 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 Systems | Statement: [LUT University, hasFaculty, School of Energy Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: School of Energy Systems
Context triple: [LUT University, hasFaculty, School of Energy Systems]
  • A. 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.
  • 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 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.
  • 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 Energy Systems
Target entity description: The School of Energy Systems is a faculty of LUT University specializing in education and research on energy technologies, systems, and sustainability.
  • A. 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.
  • 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 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.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.