Triple

T161963
Position Surface form Disambiguated ID Type / Status
Subject Margaret Atwood E3306 entity
Predicate placeOfBirth P1 FINISHED
Object Ottawa, Ontario, Canada E4292 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: Ottawa, Ontario, Canada | Statement: [Margaret Atwood, placeOfBirth, Ottawa, Ontario, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottawa, Ontario, Canada
Context triple: [Margaret Atwood, placeOfBirth, Ottawa, Ontario, Canada]
  • A. Ottawa chosen
    Ottawa is the capital city of Canada, located in eastern Ontario along the Ottawa River and known for its federal government institutions, cultural landmarks, and bilingual character.
  • B. Woodbridge, Ontario, Canada
    Woodbridge is a suburban community within the city of Vaughan in the Greater Toronto Area, known for its large Italian-Canadian population and residential character.
  • C. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • D. Windsor, Ontario
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • E. London, Ontario
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2585877648190a2ec320182a69343 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3672cae0c819086233f16cc2003de completed Feb. 28, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.