Triple

T5810871
Position Surface form Disambiguated ID Type / Status
Subject Ontario Highway 17 E128863 entity
Predicate passesThrough P225 FINISHED
Object Sudbury 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 | Statement: [Ontario Highway 17, passesThrough, Sudbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sudbury
Context triple: [Ontario Highway 17, passesThrough, Sudbury]
  • A. Sudbury chosen
    Sudbury is a major city in northern Ontario, Canada, known for its mining industry and numerous surrounding lakes.
  • B. Sudbury
    Sudbury is a historic market town in Suffolk, England, known for its medieval architecture and association with painter Thomas Gainsborough.
  • C. Sudbury, Massachusetts
    Sudbury, Massachusetts is a historic New England town west of Boston known for its colonial heritage, affluent residential character, and preserved rural landscapes.
  • D. Fitchburg
    Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
  • E. Springfield, New Brunswick
    Springfield, New Brunswick is a rural community in Kings County, Canada, known for its agricultural landscape and small-town character.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1826cc081909572d9bf99d5f670 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:52 p.m.