Triple

T1300356
Position Surface form Disambiguated ID Type / Status
Subject University of Victoria E27747 entity
Predicate hasFaculty P141 FINISHED
Object 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.
E149520 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 Engineering and Computer Science | Statement: [University of Victoria, hasFaculty, Faculty of Engineering and Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering and Computer Science
Context triple: [University of Victoria, hasFaculty, Faculty of Engineering and Computer Science]
  • A. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Sacramento that offers undergraduate and graduate programs in engineering and computing disciplines.
  • B. School of Engineering and Computer Science
    The School of Engineering and Computer Science is an academic division of Baylor University that offers undergraduate and graduate programs in engineering, computer science, and related technological fields.
  • C. College of Engineering Technology and Computer Science
    The College of Engineering Technology and Computer Science is an academic division of Bluefield State University that offers programs in engineering technologies and computing disciplines.
  • D. Faculty of Computer Sciences
    The Faculty of Computer Sciences is an academic division of Østfold University College specializing in education and research in computing and information technology.
  • E. Faculty of Computer Science
    The Faculty of Computer Science at the University of Vienna is an academic division dedicated to research and education in computer science and related disciplines.
  • 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 Engineering and Computer Science
Triple: [University of Victoria, hasFaculty, Faculty of Engineering and Computer Science]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering and Computer Science
Target entity description: 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.
  • A. College of Engineering and Computer Science
    The College of Engineering and Computer Science is an academic division of California State University, Sacramento that offers undergraduate and graduate programs in engineering and computing disciplines.
  • B. School of Engineering and Computer Science
    The School of Engineering and Computer Science is an academic division of Baylor University that offers undergraduate and graduate programs in engineering, computer science, and related technological fields.
  • C. College of Engineering Technology and Computer Science
    The College of Engineering Technology and Computer Science is an academic division of Bluefield State University that offers programs in engineering technologies and computing disciplines.
  • D. Faculty of Computer Sciences
    The Faculty of Computer Sciences is an academic division of Østfold University College specializing in education and research in computing and information technology.
  • E. Faculty of Computer Science
    The Faculty of Computer Science at the University of Vienna is an academic division dedicated to research and education in computer science and related disciplines.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c11314a48190ab4efb8b1acdce50 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb30292dc8190a33fd62c997c3f1b completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb42dd7488190935d289907e5ed91 completed March 7, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69acb48a873081909a9d4d27ed8b7a7a completed March 7, 2026, 11:28 p.m.
Created at: March 1, 2026, 7:51 p.m.