Triple

T7578309
Position Surface form Disambiguated ID Type / Status
Subject Canada Company E179416 entity
Predicate notableTownFounded P18547 FINISHED
Object Goderich E585487 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: Goderich | Statement: [Canada Company, notableTownFounded, Goderich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goderich
Context triple: [Canada Company, notableTownFounded, Goderich]
  • A. Goderich, Ontario chosen
    Goderich, Ontario is a historic town on the eastern shore of Lake Huron, known for its picturesque waterfront, distinctive octagonal town square, and reputation as one of Canada’s most beautiful communities.
  • B. Petrolia
    Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
  • 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. Komoka
    Komoka is a small community in southwestern Ontario, Canada, situated just west of London and known for its residential character and nearby conservation and recreational areas.
  • E. Wallaceburg
    Wallaceburg is a small community in southwestern Ontario, Canada, known historically for its glass, sugar, and manufacturing industries along the Sydenham River.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c701731a288190b53ffc546a2f47d7 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a8c3f4c8190af77a94e59d0ff03 completed March 29, 2026, 3:20 a.m.
Created at: March 27, 2026, 3:51 p.m.