Triple

T18917999
Position Surface form Disambiguated ID Type / Status
Subject University of Toronto Schools E462769 entity
Predicate shortName P43 FINISHED
Object UTS NE NERFINISHED

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: UTS | Statement: [University of Toronto Schools, shortName, UTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTS
Context triple: [University of Toronto Schools, shortName, UTS]
  • A. UTS
    UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • B. UTS chosen
    UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
  • C. UTS
    UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
  • D. UTSS
    UTSS is the ICAO airport code for Samarkand International Airport in Samarkand, Uzbekistan.
  • E. UTY
    UTY is the ICAO airline designator assigned to Alliance Airlines, an Australian regional and charter carrier.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62884988190a362ada1a0a47134 completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:59 a.m.