Triple

T11213604
Position Surface form Disambiguated ID Type / Status
Subject Kingston Road E265370 entity
Predicate hasJunctionWith P1018 FINISHED
Object Brimley Road E893335 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: Brimley Road | Statement: [Kingston Road, hasJunctionWith, Brimley Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brimley Road
Context triple: [Kingston Road, hasJunctionWith, Brimley Road]
  • A. Brimley Road chosen
    Brimley Road is a major north–south arterial street in Toronto, Ontario, running through neighborhoods such as Agincourt in the city's east end.
  • B. Martindale Road
    Martindale Road is a local roadway situated near Martindale Pond in the Niagara Region of Ontario, Canada.
  • C. Naylor Road
    Naylor Road is a street in the Washington, D.C. area that lends its name to the nearby Naylor Road Metro station on the Green Line.
  • D. Ridgefield Road
    Ridgefield Road is a local roadway in Dale City, Virginia, serving residential neighborhoods and connecting them to the broader local street network.
  • E. Barnwell Road
    Barnwell Road is a residential and arterial street in Cambridge, England, forming part of the city’s eastern road network.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d7f47c8190b78c640ff1a01943 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ce8f988190b503af0cd5f2a97e completed May 9, 2026, 9:43 a.m.
Created at: April 8, 2026, 9:30 p.m.