Triple

T15763219
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk State Technical University E382149 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E1176060 NE FINISHED

How this triple was built (4 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 Power Engineering | Statement: [Novosibirsk State Technical University, hasFaculty, Faculty of Power Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Power Engineering
Context triple: [Novosibirsk State Technical University, hasFaculty, Faculty of Power Engineering]
  • A. 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.
  • B. Faculty of Environmental and Power Engineering
    The Faculty of Environmental and Power Engineering is an academic unit of the Silesian University of Technology specializing in education and research on sustainable energy systems, environmental protection, and related engineering disciplines.
  • C. Faculty of Mechanical and Power Engineering
    The Faculty of Mechanical and Power Engineering is an academic unit of Wrocław University of Science and Technology specializing in education and research in mechanical engineering, energy systems, and related technologies.
  • D. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic unit of the Warsaw University of Technology specializing in education and research in electrical and electronic engineering.
  • E. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic division of Amirkabir University of Technology specializing in education and research across fields such as electronics, power systems, telecommunications, and control engineering.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faculty of Power Engineering
Triple: [Novosibirsk State Technical University, hasFaculty, Faculty of Power Engineering]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Power Engineering
Target entity description: 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.
  • A. 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.
  • B. Faculty of Environmental and Power Engineering
    The Faculty of Environmental and Power Engineering is an academic unit of the Silesian University of Technology specializing in education and research on sustainable energy systems, environmental protection, and related engineering disciplines.
  • C. Faculty of Mechanical and Power Engineering
    The Faculty of Mechanical and Power Engineering is an academic unit of Wrocław University of Science and Technology specializing in education and research in mechanical engineering, energy systems, and related technologies.
  • D. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is a major academic unit of the Warsaw University of Technology specializing in education and research in electrical and electronic engineering.
  • E. Faculty of Electrical Engineering
    The Faculty of Electrical Engineering is an academic division of Gdynia Maritime University specializing in education and research in electrical and related engineering fields, particularly as they apply to maritime industries.
  • F. None of above. chosen

Provenance (5 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.