Triple

T6376643
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Mathematics, University of Waterloo E143482 entity
Predicate affiliatedDepartment P589 FINISHED
Object Department of Statistics and Actuarial Science, University of Waterloo
The Department of Statistics and Actuarial Science at the University of Waterloo is a leading academic unit renowned for its research and education in statistics, actuarial science, data science, and related quantitative fields.
E588706 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: Department of Statistics and Actuarial Science, University of Waterloo | Statement: [Faculty of Mathematics, University of Waterloo, affiliatedDepartment, Department of Statistics and Actuarial Science, University of Waterloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Actuarial Science, University of Waterloo
Context triple: [Faculty of Mathematics, University of Waterloo, affiliatedDepartment, Department of Statistics and Actuarial Science, University of Waterloo]
  • A. Department of Statistical and Actuarial Sciences (Western University)
    The Department of Statistical and Actuarial Sciences at Western University is an academic unit specializing in statistics, actuarial science, and related quantitative disciplines, offering research and professional training in risk analysis, data science, and probability.
  • B. College of Statistical and Actuarial Sciences
    The College of Statistical and Actuarial Sciences is an academic institution specializing in statistics and actuarial science education and research within the University of the Punjab in Pakistan.
  • C. Department of Statistics (University of British Columbia)
    The Department of Statistics at the University of British Columbia is an academic unit specializing in teaching and research in statistical science, data analysis, and related quantitative methods.
  • D. Department of Mathematical and Statistical Sciences, University of Alberta
    The Department of Mathematical and Statistical Sciences at the University of Alberta is an academic unit specializing in research and education in pure and applied mathematics, statistics, and related quantitative fields.
  • E. Department of Mathematics and Statistics (York University)
    The Department of Mathematics and Statistics at York University is an academic unit offering undergraduate and graduate programs and conducting research in pure and applied mathematics, statistics, and 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: Department of Statistics and Actuarial Science, University of Waterloo
Triple: [Faculty of Mathematics, University of Waterloo, affiliatedDepartment, Department of Statistics and Actuarial Science, University of Waterloo]
Generated description
The Department of Statistics and Actuarial Science at the University of Waterloo is a leading academic unit renowned for its research and education in statistics, actuarial science, data science, and related quantitative fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Actuarial Science, University of Waterloo
Target entity description: The Department of Statistics and Actuarial Science at the University of Waterloo is a leading academic unit renowned for its research and education in statistics, actuarial science, data science, and related quantitative fields.
  • A. Department of Statistical and Actuarial Sciences (Western University)
    The Department of Statistical and Actuarial Sciences at Western University is an academic unit specializing in statistics, actuarial science, and related quantitative disciplines, offering research and professional training in risk analysis, data science, and probability.
  • B. College of Statistical and Actuarial Sciences
    The College of Statistical and Actuarial Sciences is an academic institution specializing in statistics and actuarial science education and research within the University of the Punjab in Pakistan.
  • C. Department of Statistics (University of British Columbia)
    The Department of Statistics at the University of British Columbia is an academic unit specializing in teaching and research in statistical science, data analysis, and related quantitative methods.
  • D. Department of Mathematical and Statistical Sciences, University of Alberta
    The Department of Mathematical and Statistical Sciences at the University of Alberta is an academic unit specializing in research and education in pure and applied mathematics, statistics, and related quantitative fields.
  • E. Department of Mathematics and Statistics (York University)
    The Department of Mathematics and Statistics at York University is an academic unit offering undergraduate and graduate programs and conducting research in pure and applied mathematics, statistics, and 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0683d7af881908d66d5230e1bfcb6 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9dd9dc8190b2aca25feda3e690 completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62fb982088190ab4ccbd5ff23740d completed March 27, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_69c6302e2f008190bd7ccdfbcddb3c07 completed March 27, 2026, 7:22 a.m.
Created at: March 22, 2026, 4:33 p.m.