Triple

T161898
Position Surface form Disambiguated ID Type / Status
Subject Frederick Banting E3304 entity
Predicate hasWorkLocation P1527 FINISHED
Object London, Ontario, Canada E24077 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: London, Ontario, Canada | Statement: [Frederick Banting, hasWorkLocation, London, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, Ontario, Canada
Context triple: [Frederick Banting, hasWorkLocation, London, Ontario, Canada]
  • A. London, Ontario chosen
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • B. Windsor, Ontario
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • C. Alliston, Ontario, Canada
    Alliston, Ontario, Canada is a small community best known as the birthplace of Sir Frederick Banting, co-discoverer of insulin.
  • D. Woodbridge, Ontario, Canada
    Woodbridge is a suburban community within the city of Vaughan in the Greater Toronto Area, known for its large Italian-Canadian population and residential character.
  • E. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bae79b48190abfd247410e5918f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a362b97500819088c4f547f6ee38d4 completed Feb. 28, 2026, 9:48 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.