Triple

T6461745
Position Surface form Disambiguated ID Type / Status
Subject Conrad School of Entrepreneurship and Business E142137 entity
Predicate affiliatedWith P254 FINISHED
Object Faculty of Engineering, University of Waterloo
The Faculty of Engineering at the University of Waterloo is a leading Canadian engineering school renowned for its strong co-op programs, innovative research, and close ties to industry and entrepreneurship.
E595288 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, University of Waterloo | Statement: [Conrad School of Entrepreneurship and Business, affiliatedWith, Faculty of Engineering, University of Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering, University of Waterloo
Context triple: [Conrad School of Entrepreneurship and Business, affiliatedWith, Faculty of Engineering, University of Waterloo]
  • A. University of Waterloo
    The University of Waterloo is a leading Canadian public research university renowned for its cooperative education programs and strengths in engineering, computer science, and innovation.
  • B. Faculty of Engineering, McGill University
    The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
  • C. University of Waterloo Faculty of Science
    The University of Waterloo Faculty of Science is a major Canadian science faculty known for its strong research and teaching in fields such as biology, chemistry, physics, earth sciences, and optometry.
  • D. Faculty of Mathematics, University of Waterloo
    The Faculty of Mathematics at the University of Waterloo is a globally recognized academic division specializing in mathematics, statistics, computer science, and related fields, known for its large co-op programs and strong research output.
  • E. Waterloo Institute for Nanotechnology
    The Waterloo Institute for Nanotechnology is a leading research institute at the University of Waterloo focused on advancing nanoscience and nanotechnology through interdisciplinary research and innovation.
  • 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, University of Waterloo
Triple: [Conrad School of Entrepreneurship and Business, affiliatedWith, Faculty of Engineering, University of Waterloo]
Generated description
The Faculty of Engineering at the University of Waterloo is a leading Canadian engineering school renowned for its strong co-op programs, innovative research, and close ties to industry and entrepreneurship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faculty of Engineering, University of Waterloo
Target entity description: The Faculty of Engineering at the University of Waterloo is a leading Canadian engineering school renowned for its strong co-op programs, innovative research, and close ties to industry and entrepreneurship.
  • A. University of Waterloo
    The University of Waterloo is a leading Canadian public research university renowned for its cooperative education programs and strengths in engineering, computer science, and innovation.
  • B. Faculty of Engineering, McGill University
    The Faculty of Engineering at McGill University is a leading Canadian engineering school offering a wide range of undergraduate and graduate programs in engineering and related disciplines, known for its strong research output and international reputation.
  • C. University of Waterloo Faculty of Science
    The University of Waterloo Faculty of Science is a major Canadian science faculty known for its strong research and teaching in fields such as biology, chemistry, physics, earth sciences, and optometry.
  • D. Faculty of Mathematics, University of Waterloo
    The Faculty of Mathematics at the University of Waterloo is a globally recognized academic division specializing in mathematics, statistics, computer science, and related fields, known for its large co-op programs and strong research output.
  • E. Waterloo Institute for Nanotechnology
    The Waterloo Institute for Nanotechnology is a leading research institute at the University of Waterloo focused on advancing nanoscience and nanotechnology through interdisciplinary research and innovation.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f683248190a58beb60f009eafb completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653971f988190847187ae60b6eeb5 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c654907e1081908a322bd8ac03cd88 completed March 27, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69c654fafcd88190b28d49e9fe264246 completed March 27, 2026, 9:59 a.m.
Created at: March 22, 2026, 4:49 p.m.