Triple

T296744
Position Surface form Disambiguated ID Type / Status
Subject Woodbridge, Ontario E6107 entity
Predicate amalgamatedInto P77 FINISHED
Object City of Vaughan E40928 NE FINISHED

How this triple was built (3 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 Vaughan | Statement: [Woodbridge, Ontario, amalgamatedInto, City of Vaughan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Vaughan
Context triple: [Woodbridge, Ontario, amalgamatedInto, City of Vaughan]
  • A. Vaughan chosen
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • B. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • C. Oakville, Ontario
    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.
  • D. 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.
  • E. Oshawa
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: amalgamatedInto
Context triple: [Woodbridge, Ontario, amalgamatedInto, City of Vaughan]
  • A. wasUnifiedWith
    Indicates that two or more previously separate entities were brought together to form a single unified whole.
  • B. mergedInto chosen
    Indicates that one entity has been combined with and absorbed into another entity, ceasing to exist as a separate unit.
  • C. annexedBy
    Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
  • D. emergedWith
    Indicates that one entity came forth, appeared, or became visible at the same time and in association with another entity.
  • E. foundedByMergerOf
    Indicates that an entity was created through the merger or combination of two or more predecessor entities.
  • F. None of above.

Provenance (4 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea4778cc8190be7b648a82542891 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103814b4819095c9e8c6c3702d96 completed March 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69a2e937af888190a0960708f09ae033 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.