Triple

T8325201
Position Surface form Disambiguated ID Type / Status
Subject Peterborough campus E194933 entity
Predicate city P40 FINISHED
Object Peterborough E36462 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: Peterborough | Statement: [Peterborough campus, city, Peterborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peterborough
Context triple: [Peterborough campus, city, Peterborough]
  • A. Peterborough
    Peterborough is a cathedral city in eastern England known for its historic Norman cathedral and role as a regional commercial and transport hub.
  • B. Peterborough, Ontario chosen
    Peterborough, Ontario is a mid-sized Canadian city known for its historic role in the development of the Kawartha Lakes region, its Trent-Severn Waterway lock system, and its mix of manufacturing, education, and outdoor recreation.
  • C. Barrie
    Barrie is a mid-sized city in central Ontario, Canada, located on the western shore of Lake Simcoe and known as a growing regional hub for commuters, industry, and recreation.
  • D. Cobourg
    Cobourg is a small town in Ontario, Canada, known for its historic downtown, sandy beach, and picturesque waterfront along Lake Ontario.
  • E. Kitchener
    Kitchener is a mid-sized city in southwestern Ontario, Canada, known for its manufacturing history and annual Oktoberfest celebration.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f7e4f8081908e0f876ad962c932 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:56 p.m.