Triple

T22451224
Position Surface form Disambiguated ID Type / Status
Subject Shoresy E554993 entity
Predicate filmingLocation P40 FINISHED
Object Sudbury, 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: Sudbury, Ontario | Statement: [Shoresy, filmingLocation, Sudbury, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury, Ontario
Context triple: [Shoresy, filmingLocation, Sudbury, Ontario]
  • 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 small rural town in Rutland County, Vermont, known for its scenic landscapes and quiet, agricultural character.
  • C. Sudbury
    Sudbury is a historic market town in Suffolk, England, known for its medieval architecture and association with painter Thomas Gainsborough.
  • D. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • E. East Sudbury
    East Sudbury was the former name of the Massachusetts town now known as Wayland, a historic community in Middlesex County.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4ba6a88190a0a79e2c20fa8c08 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.