Triple

T3346974
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science (York University) E70398 entity
Predicate hasDepartment P35 FINISHED
Object 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.
E350445 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 Mathematics and Statistics (York University) | Statement: [Faculty of Science (York University), hasDepartment, Department of Mathematics and Statistics (York University)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Mathematics and Statistics (York University)
Context triple: [Faculty of Science (York University), hasDepartment, Department of Mathematics and Statistics (York University)]
  • A. Department of Mathematics and Statistics (McGill University)
    The Department of Mathematics and Statistics at McGill University is an academic unit renowned for research and teaching in pure and applied mathematics, statistics, and related fields.
  • B. University of Toronto Department of Mathematics
    The University of Toronto Department of Mathematics is a leading academic department renowned for its research and teaching in pure and applied mathematics, with notable faculty such as complexity theorist Stephen Cook.
  • C. Department of Mathematics and Statistics, Lancaster University
    The Department of Mathematics and Statistics at Lancaster University is a leading UK academic department known for its strong research and teaching in pure and applied mathematics, statistics, and related quantitative disciplines.
  • D. School of Mathematics and Statistics
    The School of Mathematics and Statistics is an academic faculty of Wuhan University specializing in education and research in mathematical sciences and statistical theory and applications.
  • E. School of Mathematics and Statistics
    The School of Mathematics and Statistics is an academic faculty at Central China Normal University specializing in education and research in mathematical sciences and statistical analysis.
  • 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 Mathematics and Statistics (York University)
Triple: [Faculty of Science (York University), hasDepartment, Department of Mathematics and Statistics (York University)]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Mathematics and Statistics (York University)
Target entity description: 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.
  • A. Department of Mathematics and Statistics (McGill University)
    The Department of Mathematics and Statistics at McGill University is an academic unit renowned for research and teaching in pure and applied mathematics, statistics, and related fields.
  • B. University of Toronto Department of Mathematics
    The University of Toronto Department of Mathematics is a leading academic department renowned for its research and teaching in pure and applied mathematics, with notable faculty such as complexity theorist Stephen Cook.
  • C. Department of Mathematics and Statistics, Lancaster University
    The Department of Mathematics and Statistics at Lancaster University is a leading UK academic department known for its strong research and teaching in pure and applied mathematics, statistics, and related quantitative disciplines.
  • D. School of Mathematics and Statistics
    The School of Mathematics and Statistics is an academic faculty of Wuhan University specializing in education and research in mathematical sciences and statistical theory and applications.
  • E. School of Mathematics and Statistics
    The School of Mathematics and Statistics is an academic faculty at Central China Normal University specializing in education and research in mathematical sciences and statistical analysis.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f4ff888190bf14b9b7fbe9bcee completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32522cbc88190b965087a580d7acf completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b325a0de7c8190a33ae611b8450b5a completed March 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69b326862e848190bf1bea74b6ab0b36 completed March 12, 2026, 8:48 p.m.
Created at: March 8, 2026, 3:12 p.m.