Triple

T7741600
Position Surface form Disambiguated ID Type / Status
Subject Silesian University of Technology E175521 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E686839 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 Environmental and Power Engineering | Statement: [Silesian University of Technology, hasFaculty, Faculty of Environmental and Power Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Environmental and Power Engineering
Context triple: [Silesian University of Technology, hasFaculty, Faculty of Environmental and 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 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.
  • C. Faculty of Environmental Engineering and Energy
    The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
  • D. 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.
  • E. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit at the Technion – Israel Institute of Technology that focuses on education and research in infrastructure, construction, and environmental systems 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 Environmental and Power Engineering
Triple: [Silesian University of Technology, hasFaculty, Faculty of Environmental and Power Engineering]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Environmental and Power Engineering
Target entity description: 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.
  • 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 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.
  • C. Faculty of Environmental Engineering and Energy
    The Faculty of Environmental Engineering and Energy is an academic unit of Poznań University of Technology focused on education and research in sustainable environmental technologies and energy systems.
  • D. 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.
  • E. Faculty of Civil and Environmental Engineering
    The Faculty of Civil and Environmental Engineering is a major academic unit at the Technion – Israel Institute of Technology that focuses on education and research in infrastructure, construction, and environmental systems engineering.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035df9348190ad3f3d845207bf4d completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c63c688190ac257a738759d59f completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c82f8f248190b0fc882b6c4c0554 completed March 29, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8c516048190957d937f2f2273ad completed March 29, 2026, 6:37 a.m.
Created at: March 27, 2026, 4:07 p.m.