Triple

T8817243
Position Surface form Disambiguated ID Type / Status
Subject Oakville Harbour E209809 entity
Predicate locatedIn P40 FINISHED
Object 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: Oakville | Statement: [Oakville Harbour, locatedIn, Oakville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakville
Context triple: [Oakville Harbour, locatedIn, 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. Stouffville
    Stouffville is a suburban community in the Greater Toronto Area of Ontario, Canada, known for its residential character and commuter connections to Toronto.
  • C. Brampton
    Brampton is a large suburban city in the Greater Toronto Area known for its diverse population and rapidly growing economy.
  • D. Brampton
    Brampton is a market town in Cumbria, England, known for its historic architecture and proximity to Hadrian’s Wall.
  • E. Barrhaven
    Barrhaven is a large suburban community in Ottawa, Ontario, known for its family-oriented residential areas, schools, and shopping centres.
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc600bd8a88190ad891a96201d796b completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cfa05742948190bcec72a080f6837a completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:46 p.m.