Triple

T18235534
Position Surface form Disambiguated ID Type / Status
Subject Georgetown, Ontario E436663 entity
Predicate locatedNear P294 FINISHED
Object Mississauga NE NERFINISHED

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: Mississauga | Statement: [Georgetown, Ontario, locatedNear, Mississauga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mississauga
Context triple: [Georgetown, Ontario, locatedNear, Mississauga]
  • A. Mississauga chosen
    Mississauga is a large, diverse Canadian city in the Greater Toronto Area known for its major airport, corporate headquarters, and extensive suburban communities.
  • B. Owen Sound
    Owen Sound is a small port city on Georgian Bay in southwestern Ontario, Canada, known for its waterfront, regional services, and surrounding natural attractions.
  • C. Caledon
    Caledon is a small town in South Africa’s Western Cape province, known for its hot springs, surrounding farmlands, and proximity to the Overberg region.
  • 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. Scugog
    Scugog is a township and lakeside community in south-central Ontario, Canada, known for its rural character, recreational opportunities around Lake Scugog, and proximity to the Greater Toronto Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b69a688190b140961eb298c36e completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:33 a.m.