Triple

T1038626
Position Surface form Disambiguated ID Type / Status
Subject Golden Horseshoe E22419 entity
Predicate includes P1393 FINISHED
Object City of Oakville E39871 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: City of Oakville | Statement: [Golden Horseshoe, includes, City of Oakville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Oakville
Context triple: [Golden Horseshoe, includes, City of Oakville]
  • A. Oakville, Ontario chosen
    Oakville, Ontario is a suburban town on Lake Ontario in the Greater Toronto Area, known for its affluent neighborhoods, harbors, and vibrant arts and cultural scene.
  • B. Orangeville, Ontario
    Orangeville, Ontario is a small town in south-central Ontario, Canada, known as a regional commercial hub for the surrounding rural communities and for its historic downtown and arts scene.
  • C. Collingwood, Ontario
    Collingwood, Ontario is a town on the southern shore of Georgian Bay known for its proximity to Blue Mountain ski resort and its popular four-season outdoor recreation.
  • D. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • E. Richmond Hill, Ontario
    Richmond Hill, Ontario is a suburban city in the Greater Toronto Area known for its diverse population, strong economy, and rapidly growing residential communities.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82b3ef08190bcd24845b4418d47 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd4688fac8190865642466bd4966a completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:41 p.m.