Triple

T21631064
Position Surface form Disambiguated ID Type / Status
Subject Renfrew Creamery Kings E533829 entity
Predicate location P40 FINISHED
Object Renfrew, Ontario NE NERFINISHED

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: Renfrew, Ontario | Statement: [Renfrew Creamery Kings, location, Renfrew, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renfrew, Ontario
Context triple: [Renfrew Creamery Kings, location, Renfrew, Ontario]
  • A. Renfrew, Ontario chosen
    Renfrew, Ontario is a small town in Eastern Ontario known as a regional service and commercial centre along the Ottawa River valley.
  • B. Oakland, Ontario
    Oakland, Ontario is a small rural community located within the County of Brant in southwestern Ontario, Canada.
  • C. Richmond, Ontario
    Richmond, Ontario is a historic rural village within the city of Ottawa, known as one of the region’s earliest military settlements.
  • D. St. Marys, Ontario
    St. Marys, Ontario is a small Canadian town known for its historic limestone architecture, scenic riverside setting, and as the home of the Canadian Baseball Hall of Fame.
  • E. Kingston, Ontario
    Kingston, Ontario is a historic Canadian city on the northeastern shore of Lake Ontario, known for its 19th-century limestone architecture, military and political heritage, and as home to Queen’s University.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521679fc81909c94d42439fda4ba completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.