Triple

T15940783
Position Surface form Disambiguated ID Type / Status
Subject University of Toronto Mississauga E386553 entity
Predicate shortName P43 FINISHED
Object UTM E56367 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: UTM | Statement: [University of Toronto Mississauga, shortName, UTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTM
Context triple: [University of Toronto Mississauga, shortName, UTM]
  • A. UTM chosen
    UTM is the University of Toronto Mississauga, a suburban campus of the University of Toronto located in Mississauga, Ontario.
  • B. UTM
    UTM is a public university in Martin, Tennessee, known for its undergraduate-focused education and role within the University of Tennessee system.
  • C. UTM
    UTM (Universal Transverse Mercator) is a global map coordinate system that divides the Earth into a series of zones using a transverse Mercator projection to provide consistent, metric-based location referencing.
  • D. GTM
    GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
  • E. GTM
    GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.