Triple

T7579141
Position Surface form Disambiguated ID Type / Status
Subject Ravens E179439 entity
Predicate category P87 FINISHED
Object Carleton University E34047 NE FINISHED

How this triple was built (2 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: Carleton University | Statement: [Ravens, category, Carleton University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carleton University
Context triple: [Ravens, category, Carleton University]
  • A. Carleton University chosen
    Carleton University is a public research university located in Ottawa, Ontario, known for its programs in public affairs, engineering, and journalism.
  • B. University of Ottawa
    The University of Ottawa is a major bilingual public research university in Canada known for its strong programs in law, social sciences, and health sciences.
  • C. York University
    York University is a major public research university in Toronto, Canada, known for its diverse academic programs and large student population.
  • D. Wilfrid Laurier University
    Wilfrid Laurier University is a Canadian public university known for its strong business, music, and arts programs, with main campuses in Waterloo and Brantford, Ontario.
  • E. McGill University
    McGill University is a leading public research university in Montreal, Canada, renowned for its strong academic programs, global reputation, and membership in major research-intensive university associations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97460a481909d61fba555567b66 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1a54dd08190bdaaf6772758c22f completed April 3, 2026, 1:33 p.m.
Created at: March 27, 2026, 3:52 p.m.