Triple

T23495793
Position Surface form Disambiguated ID Type / Status
Subject Alton E571701 entity
Predicate locatedNear P294 FINISHED
Object Orangeville 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: Orangeville | Statement: [Alton, locatedNear, Orangeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orangeville
Context triple: [Alton, locatedNear, Orangeville]
  • A. Orangeville, Ontario chosen
    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.
  • B. Elmvale
    Elmvale is a small community in central Ontario, Canada, known for its rural character and proximity to natural attractions.
  • C. Bowmanville
    Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
  • D. Valleyfield
    Valleyfield is a locality known for its association with the historic Valleyfield mining area.
  • E. Welland
    Welland is a city in the Niagara Region of southern Ontario, Canada, known for the Welland Canal that connects Lake Ontario and Lake Erie.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e00384819092729319a378d4ab completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.