Triple

T22001140
Position Surface form Disambiguated ID Type / Status
Subject David Johnston E543327 entity
Predicate birthPlace P1 FINISHED
Object Sudbury, Ontario, Canada 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: Sudbury, Ontario, Canada | Statement: [David Johnston, birthPlace, Sudbury, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury, Ontario, Canada
Context triple: [David Johnston, birthPlace, Sudbury, Ontario, Canada]
  • A. Sudbury
    Sudbury is a suburban area in northwest London, England, known for its residential character and proximity to Wembley.
  • B. Sudbury
    Sudbury is a historic market town in Suffolk, England, known for its medieval architecture and association with painter Thomas Gainsborough.
  • C. Sudbury
    Sudbury is a small rural town in Rutland County, Vermont, known for its scenic landscapes and quiet, agricultural character.
  • D. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • E. Norwood, Ontario, Canada
    Norwood, Ontario, Canada is a small rural community best known as the hometown of the rock band Three Days Grace.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276ae4e0819097bf1b978451f776 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.