Triple

T18264579
Position Surface form Disambiguated ID Type / Status
Subject Adrian Foster E437449 entity
Predicate officeHeldIn P25590 FINISHED
Object Clarington, 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: Clarington, Ontario | Statement: [Adrian Foster, officeHeldIn, Clarington, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarington, Ontario
Context triple: [Adrian Foster, officeHeldIn, Clarington, Ontario]
  • A. Clarington chosen
    Clarington is a largely suburban and rural municipality in Ontario, Canada, located at the eastern edge of the Greater Toronto Area.
  • B. St. Clair, Ontario
    St. Clair, Ontario is a rural township in southwestern Ontario along the St. Clair River, known for its petrochemical industry, agriculture, and small communities near Sarnia.
  • C. Scugog, Ontario
    Scugog, Ontario is a rural township in the Regional Municipality of Durham known for the town of Port Perry and its location along the shores of Lake Scugog.
  • D. Courtland, Ontario
    Courtland, Ontario is a small rural community located within Norfolk County in southwestern Ontario, Canada.
  • E. Greenfield, Ontario
    Greenfield, Ontario is a small rural community located within the Township of North Glengarry in eastern Ontario, Canada.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff78b188819081da8e1d389c6c79 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.