Triple

T8224239
Position Surface form Disambiguated ID Type / Status
Subject University College, University of Toronto E192137 entity
Predicate shortName P43 FINISHED
Object UC
UC is the commonly used abbreviation for University College, one of the constituent colleges of the University of Toronto.
 E719592 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: UC | Statement: [University College, University of Toronto, shortName, UC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UC
Context triple: [University College, University of Toronto, shortName, UC]
  • A. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • B. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • E. UC
    UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
  • 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: UC
Triple: [University College, University of Toronto, shortName, UC]
Generated description
UC is the commonly used abbreviation for University College, one of the constituent colleges of the University of Toronto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UC
Target entity description: UC is the commonly used abbreviation for University College, one of the constituent colleges of the University of Toronto.
  • A. UC
    UC is a public university in Canberra, Australia, known for its career-focused programs and strong industry partnerships.
  • B. UC
    UC is a leading Chilean university, widely recognized for its academic excellence and strong influence in education, research, and public policy in Latin America.
  • C. UC
    UC is the final generation of the Holden Torana, a compact Australian car produced in the late 1970s.
  • D. UC
    UC is the commonly used abbreviation for Universal Credit, the United Kingdom’s main welfare benefit for people on a low income or out of work.
  • E. UC
    UC is a public research university in Cincinnati, Ohio, known for its comprehensive academic programs and co-operative education opportunities.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cc351481908d7dcd6d3d15d59f completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee0fd9d0819094350c9c7887cabe completed April 1, 2026, 10:06 a.m.
NEDg Description generation batch_69ccf1bc720081908c4eabf58336318a completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd05f26f9c8190a3cc00c03c6dda95 completed April 1, 2026, 11:48 a.m.
Created at: March 30, 2026, 5:45 p.m.