Triple

T22511813
Position Surface form Disambiguated ID Type / Status
Subject Lakefield College School E556537 entity
Predicate locatedIn P40 FINISHED
Object Lakefield, 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: Lakefield, Ontario | Statement: [Lakefield College School, locatedIn, Lakefield, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakefield, Ontario
Context triple: [Lakefield College School, locatedIn, Lakefield, Ontario]
  • A. Lakefield, Ontario chosen
    Lakefield, Ontario is a small village in Peterborough County, Canada, known for its scenic lakeside setting and historic charm.
  • B. Courtland, Ontario
    Courtland, Ontario is a small rural community located within Norfolk County in southwestern Ontario, Canada.
  • C. Aberfoyle, Ontario
    Aberfoyle, Ontario is a small rural community in the township of Puslinch known for its historic charm and popular outdoor antique market.
  • D. Tavistock, Ontario
    Tavistock, Ontario is a small rural community in southwestern Ontario known for its agricultural roots and strong Mennonite and German cultural heritage.
  • E. Kleinburg, Ontario
    Kleinburg, Ontario is a small, historic village in Vaughan best known as the scenic home of the McMichael Canadian Art Collection and its surrounding conservation lands.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d61a27881909faed490d2b65f39 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.