Triple

T14882480
Position Surface form Disambiguated ID Type / Status
Subject Ontario Northland E350033 entity
Predicate busTerminalHub P81938 FINISHED
Object Sudbury, Ontario E122673 NE FINISHED

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: [Ontario Northland, busTerminalHub, Sudbury, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury, Ontario
Context triple: [Ontario Northland, busTerminalHub, Sudbury, Ontario]
  • A. Sudbury
    Sudbury is a small rural town in Rutland County, Vermont, known for its scenic landscapes and quiet, agricultural character.
  • B. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • C. Sudbury
    Sudbury is a historic market town in Suffolk, England, known for its medieval architecture and association with painter Thomas Gainsborough.
  • D. Sutton, Ontario
    Sutton, Ontario is a community within the town of Georgina on the southern shore of Lake Simcoe in Ontario, Canada, known as a local service and commercial hub for nearby lakeside and cottage areas.
  • E. Sudbury District
    Sudbury District is a large, sparsely populated administrative district in northeastern Ontario, Canada, known for its vast wilderness, mining history, and numerous lakes and forests.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5af8208190a35451477ea20b03 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.