Triple

T10521875
Position Surface form Disambiguated ID Type / Status
Subject Graz University of Technology E248192 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Computer Science and Biomedical Engineering
The Faculty of Computer Science and Biomedical Engineering is an academic division of Graz University of Technology specializing in research and education at the intersection of computing, engineering, and life sciences.
E869213 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 Computer Science and Biomedical Engineering | Statement: [Graz University of Technology, hasFaculty, Faculty of Computer Science and Biomedical Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Computer Science and Biomedical Engineering
Context triple: [Graz University of Technology, hasFaculty, Faculty of Computer Science and Biomedical Engineering]
  • A. Faculty of Computer Science and Engineering Science
    The Faculty of Computer Science and Engineering Science is an academic division of the Cologne University of Applied Sciences that offers education and research programs in computing and engineering disciplines.
  • B. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is a major academic division at Chalmers University of Technology specializing in education and research in computer science, software engineering, and related technological fields.
  • C. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is an academic division of Burgas Free University specializing in education and research in computing, information technologies, and engineering disciplines.
  • D. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is an academic division of Shahid Beheshti University specializing in education and research in computing and related engineering fields.
  • E. Faculty of Engineering and Computer Science
    The Faculty of Engineering and Computer Science at the University of Victoria is an academic division offering engineering and computing programs, research, and professional training in technology-related fields.
  • 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 Computer Science and Biomedical Engineering
Triple: [Graz University of Technology, hasFaculty, Faculty of Computer Science and Biomedical Engineering]
Generated description
The Faculty of Computer Science and Biomedical Engineering is an academic division of Graz University of Technology specializing in research and education at the intersection of computing, engineering, and life sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Computer Science and Biomedical Engineering
Target entity description: The Faculty of Computer Science and Biomedical Engineering is an academic division of Graz University of Technology specializing in research and education at the intersection of computing, engineering, and life sciences.
  • A. Faculty of Computer Science and Engineering Science
    The Faculty of Computer Science and Engineering Science is an academic division of the Cologne University of Applied Sciences that offers education and research programs in computing and engineering disciplines.
  • B. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is a major academic division at Chalmers University of Technology specializing in education and research in computer science, software engineering, and related technological fields.
  • C. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is an academic division of Burgas Free University specializing in education and research in computing, information technologies, and engineering disciplines.
  • D. Faculty of Computer Science and Engineering
    The Faculty of Computer Science and Engineering is an academic division of Shahid Beheshti University specializing in education and research in computing and related engineering fields.
  • E. Faculty of Engineering and Computer Science
    The Faculty of Engineering and Computer Science at the University of Victoria is an academic division offering engineering and computing programs, research, and professional training in technology-related fields.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e0907481908807dd99980cba1f completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107e8b94819086ebba1675a0db54 completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911a16b1481909197b00c30de48c4 completed April 10, 2026, 3:05 p.m.
Created at: April 6, 2026, 12:29 p.m.