Triple

T3865862
Position Surface form Disambiguated ID Type / Status
Subject Graeme Gibson E91849 entity
Predicate livedIn P75 FINISHED
Object Toronto, Ontario, Canada E1525 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: Toronto, Ontario, Canada | Statement: [Graeme Gibson, livedIn, Toronto, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto, Ontario, Canada
Context triple: [Graeme Gibson, livedIn, Toronto, Ontario, Canada]
  • A. Toronto chosen
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • B. Mississauga, Ontario, Canada
    Mississauga, Ontario, Canada is a large suburban city west of Toronto known for its diverse population, major corporate headquarters, and proximity to Toronto Pearson International Airport.
  • C. Hamilton, Ontario, Canada
    Hamilton, Ontario, Canada is a port city at the western end of Lake Ontario known for its industrial heritage, growing arts scene, and role as the inaugural host of the Commonwealth Games.
  • D. Downtown Toronto
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • E. Aurora, Ontario
    Aurora, Ontario is a suburban town in the Greater Toronto Area known for its residential communities, historic downtown, and role as a regional commercial and commuter hub.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5120d23f481908f71e291c089505c completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.