Triple

T7578472
Position Surface form Disambiguated ID Type / Status
Subject Cam Guthrie E179420 entity
Predicate officeHeldInJurisdiction P25590 FINISHED
Object City of Guelph E34046 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: City of Guelph | Statement: [Cam Guthrie, officeHeldInJurisdiction, City of Guelph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Guelph
Context triple: [Cam Guthrie, officeHeldInJurisdiction, City of Guelph]
  • A. Guelph chosen
    Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
  • B. King City, Ontario
    King City, Ontario is a community in the township of King, north of Toronto, known for hosting major cricket events at the Maple Leaf Cricket Club.
  • C. Augusta, Ontario
    Augusta, Ontario is a rural township in Eastern Ontario, Canada, situated along the St. Lawrence River between the cities of Brockville and Prescott.
  • D. Brantford
    Brantford is a city in southwestern Ontario, Canada, known as the hometown of hockey legend Wayne Gretzky and for its historic role in the development of telephone technology.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97460a481909d61fba555567b66 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c937a70a94819090ff91dfa463682b completed March 29, 2026, 2:31 p.m.
Created at: March 27, 2026, 3:51 p.m.