Triple

T14141881
Position Surface form Disambiguated ID Type / Status
Subject Department of Science, Technology and Society (York University) E350446 entity
Predicate alternativeName P39 FINISHED
Object STS Department (York University)
The STS Department at York University is an academic unit focused on the interdisciplinary study of how science, technology, and society interact and shape one another.
E1082780 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: STS Department (York University) | Statement: [Department of Science, Technology and Society (York University), alternativeName, STS Department (York University)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STS Department (York University)
Context triple: [Department of Science, Technology and Society (York University), alternativeName, STS Department (York University)]
  • A. 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.
  • B. Faculty of Arts and Science, University of Toronto
    The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
  • C. Department of Statistics, University of Toronto
    The Department of Statistics at the University of Toronto is a leading academic unit specializing in statistical research and education within one of Canada’s top universities.
  • D. Yeates School of Graduate Studies at Ryerson University
    The Yeates School of Graduate Studies is the division of Toronto Metropolitan University (formerly Ryerson University) responsible for overseeing and administering the institution’s graduate programs and research-focused education.
  • E. York University Faculty of Graduate Studies
    York University Faculty of Graduate Studies is the central academic body at York University responsible for overseeing and supporting its graduate programs, policies, and research training across affiliated faculties.
  • 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: STS Department (York University)
Triple: [Department of Science, Technology and Society (York University), alternativeName, STS Department (York University)]
Generated description
The STS Department at York University is an academic unit focused on the interdisciplinary study of how science, technology, and society interact and shape one another.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: STS Department (York University)
Target entity description: The STS Department at York University is an academic unit focused on the interdisciplinary study of how science, technology, and society interact and shape one another.
  • A. 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.
  • B. Faculty of Arts and Science, University of Toronto
    The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
  • C. Department of Statistics, University of Toronto
    The Department of Statistics at the University of Toronto is a leading academic unit specializing in statistical research and education within one of Canada’s top universities.
  • D. Yeates School of Graduate Studies at Ryerson University
    The Yeates School of Graduate Studies is the division of Toronto Metropolitan University (formerly Ryerson University) responsible for overseeing and administering the institution’s graduate programs and research-focused education.
  • E. York University Faculty of Graduate Studies
    York University Faculty of Graduate Studies is the central academic body at York University responsible for overseeing and supporting its graduate programs, policies, and research training across affiliated faculties.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de611ed3508190add37baa30d1d134 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf18e3d08190b287e2da192d05eb completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce1a2a4c881908d18b45917286712 completed May 7, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69fce24e7860819097f51a4907c894a7 completed May 7, 2026, 7:04 p.m.
Created at: April 10, 2026, 12:47 a.m.