Triple

T6817801
Position Surface form Disambiguated ID Type / Status
Subject University of Stuttgart E156810 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Energy, Process and Bio-Engineering
The Faculty of Energy, Process and Bio-Engineering is an academic division of the University of Stuttgart specializing in research and education on energy systems, process engineering, and bioengineering technologies.
E621991 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 Energy, Process and Bio-Engineering | Statement: [University of Stuttgart, hasFaculty, Faculty of Energy, Process and Bio-Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Energy, Process and Bio-Engineering
Context triple: [University of Stuttgart, hasFaculty, Faculty of Energy, Process and Bio-Engineering]
  • A. Faculty of Mechanical, Process and Energy Engineering
    The Faculty of Mechanical, Process and Energy Engineering is an academic division specializing in mechanical, process, and energy-related engineering disciplines at the Freiberg Mining Academy.
  • B. Faculty of Process and Environmental Engineering
    The Faculty of Process and Environmental Engineering is an academic unit of Łódź University of Technology specializing in education and research in chemical, process, and environmental engineering.
  • 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. Faculty of Biochemical and Chemical Engineering
    The Faculty of Biochemical and Chemical Engineering is an academic division of TU Dortmund University specializing in education and research in biochemical, chemical, and process engineering disciplines.
  • E. Faculty of Bioscience Engineering
    The Faculty of Bioscience Engineering is a division of Ghent University specializing in education and research at the intersection of biology, environmental sciences, and engineering, training experts in sustainable agriculture, biotechnology, and ecosystem management.
  • 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 Energy, Process and Bio-Engineering
Triple: [University of Stuttgart, hasFaculty, Faculty of Energy, Process and Bio-Engineering]
Generated description
The Faculty of Energy, Process and Bio-Engineering is an academic division of the University of Stuttgart specializing in research and education on energy systems, process engineering, and bioengineering technologies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Energy, Process and Bio-Engineering
Target entity description: The Faculty of Energy, Process and Bio-Engineering is an academic division of the University of Stuttgart specializing in research and education on energy systems, process engineering, and bioengineering technologies.
  • A. Faculty of Mechanical, Process and Energy Engineering
    The Faculty of Mechanical, Process and Energy Engineering is an academic division specializing in mechanical, process, and energy-related engineering disciplines at the Freiberg Mining Academy.
  • B. Faculty of Process and Environmental Engineering
    The Faculty of Process and Environmental Engineering is an academic unit of Łódź University of Technology specializing in education and research in chemical, process, and environmental engineering.
  • 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. Faculty of Biochemical and Chemical Engineering
    The Faculty of Biochemical and Chemical Engineering is an academic division of TU Dortmund University specializing in education and research in biochemical, chemical, and process engineering disciplines.
  • E. Faculty of Bioscience Engineering
    The Faculty of Bioscience Engineering is a division of Ghent University specializing in education and research at the intersection of biology, environmental sciences, and engineering, training experts in sustainable agriculture, biotechnology, and ecosystem management.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e458d881909fcea55915514eb1 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724f876d08190a19dd4e0840f841b completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:17 p.m.