Triple

T3986842
Position Surface form Disambiguated ID Type / Status
Subject Brian Daboll E86892 entity
Predicate placeOfBirth P1 FINISHED
Object Welland, Ontario, Canada E45849 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: Welland, Ontario, Canada | Statement: [Brian Daboll, placeOfBirth, Welland, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welland, Ontario, Canada
Context triple: [Brian Daboll, placeOfBirth, Welland, Ontario, Canada]
  • A. Welland chosen
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • B. Wawa, Ontario
    Wawa, Ontario is a small town in northern Ontario, Canada, known for its proximity to Lake Superior and its iconic giant Canada goose statue.
  • C. Nepean, Ontario, Canada
    Nepean, Ontario, Canada is a suburban community within the city of Ottawa known for its residential neighborhoods, recreational facilities, and as the childhood home of NHL legend Steve Yzerman.
  • D. Ohsweken, Ontario
    Ohsweken, Ontario is the principal village and administrative center of the Six Nations of the Grand River reserve in southern Ontario, Canada.
  • E. Waterloo, Ontario
    Waterloo, Ontario is a Canadian city in the Regional Municipality of Waterloo best known as a major tech and innovation hub and home to the University of Waterloo and Wilfrid Laurier University.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9fe355081909b04662ab44fe2ca completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402f72e8819097ce951aac465dc8 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.