Triple

T13465966
Position Surface form Disambiguated ID Type / Status
Subject Naughton, Ontario, Canada E311500 entity
Predicate locatedNear P294 FINISHED
Object Sudbury, Ontario, Canada 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, Canada | Statement: [Naughton, Ontario, Canada, locatedNear, Sudbury, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury, Ontario, Canada
Context triple: [Naughton, Ontario, Canada, locatedNear, Sudbury, Ontario, Canada]
  • A. Sudbury
    Sudbury is a historic market town in Suffolk, England, known for its medieval architecture and association with painter Thomas Gainsborough.
  • 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 small rural town in Rutland County, Vermont, known for its scenic landscapes and quiet, agricultural character.
  • D. Newtonbrook, Ontario, Canada
    Newtonbrook, Ontario, Canada is a neighbourhood in the northern part of Toronto best known as the birthplace of former Canadian Prime Minister Lester B. Pearson.
  • E. Oshawa, Ontario, Canada
    Oshawa, Ontario, Canada is an industrial city in the Greater Toronto Area best known as a major automotive manufacturing hub and home to several educational and cultural institutions.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf101a1081909f2aba6da47baacc completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746282318819090e47c324807dc1e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.