Triple

T20982385
Position Surface form Disambiguated ID Type / Status
Subject Cobourg, Upper Canada E516796 entity
Predicate hasAlternativeName P39 FINISHED
Object Cobourg 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: Cobourg | Statement: [Cobourg, Upper Canada, hasAlternativeName, Cobourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobourg
Context triple: [Cobourg, Upper Canada, hasAlternativeName, Cobourg]
  • A. Cobourg chosen
    Cobourg is a small town in Ontario, Canada, known for its historic downtown, sandy beach, and picturesque waterfront along Lake Ontario.
  • B. Brockville
    Brockville is a small city in Eastern Ontario, Canada, located along the St. Lawrence River and known as one of the region’s historic riverfront communities.
  • C. Kitchener
    Kitchener is a mid-sized city in southwestern Ontario, Canada, known for its manufacturing history and annual Oktoberfest celebration.
  • D. Kitchener
    Kitchener is a small town in the Hunter Region of New South Wales, Australia, known for its coal mining heritage and rural character.
  • E. Alliston
    Alliston is a community in New Tecumseth, Ontario, Canada, known historically as the birthplace of insulin co-discoverer Sir Frederick Banting.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe03244819097630333e70c4e88 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.