Triple

T18235944
Position Surface form Disambiguated ID Type / Status
Subject Township of Darlington E436675 entity
Predicate containedSettlement P16159 FINISHED
Object Bowmanville 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: Bowmanville | Statement: [Township of Darlington, containedSettlement, Bowmanville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowmanville
Context triple: [Township of Darlington, containedSettlement, Bowmanville]
  • A. Bowmanville chosen
    Bowmanville is a community in Ontario, Canada, serving as the main urban and administrative centre of the municipality of Clarington in the Durham Region.
  • B. Welland
    Welland is a small rural village in Worcestershire, England, known for its scenic setting near the Malvern Hills.
  • C. 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.
  • D. Orillia
    Orillia is a small city in central Ontario, Canada, known for its lakeside setting on Lake Couchiching and Lake Simcoe and its popular waterfront and cultural festivals.
  • E. Campbellford
    Campbellford is a small town in Ontario, Canada, known for its scenic riverside setting, historic downtown, and role as a stop along the Trent–Severn Waterway.
  • 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.