Triple

T20159384
Position Surface form Disambiguated ID Type / Status
Subject University of Maribor E491662 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Energy Technology 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 Energy Technology | Statement: [University of Maribor, hasFaculty, Faculty of Energy Technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Energy Technology
Context triple: [University of Maribor, hasFaculty, Faculty of Energy Technology]
  • A. 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.
  • B. 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.
  • C. Faculty of Energy and Fuels
    The Faculty of Energy and Fuels is an academic unit specializing in education and research on energy technologies, fuel science, and related engineering disciplines.
  • D. Faculty of Power Engineering
    The Faculty of Power Engineering is an academic division specializing in energy systems, electrical power technologies, and related engineering disciplines at Novosibirsk State Technical University.
  • E. Faculty of Power Engineering
    The Faculty of Power Engineering is an academic division of the Mongolian University of Science and Technology specializing in education and research on electrical power systems and 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: Faculty of Energy Technology
Target entity description: The Faculty of Energy Technology is a specialized academic unit of the University of Maribor focused on education and research in energy systems, technologies, and sustainable power solutions.
  • A. 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.
  • B. 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.
  • C. Faculty of Energy and Fuels
    The Faculty of Energy and Fuels is an academic unit specializing in education and research on energy technologies, fuel science, and related engineering disciplines.
  • D. Faculty of Power Engineering
    The Faculty of Power Engineering is an academic division specializing in energy systems, electrical power technologies, and related engineering disciplines at Novosibirsk State Technical University.
  • E. Faculty of Power Engineering
    The Faculty of Power Engineering is an academic division of the Mongolian University of Science and Technology specializing in education and research on electrical power systems and 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.