Triple

T8571059
Position Surface form Disambiguated ID Type / Status
Subject Aviva Canada E202925 entity
Predicate hasSubsidiary P254 FINISHED
Object Aviva Insurance Company of Canada E202925 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: Aviva Insurance Company of Canada | Statement: [Aviva Canada, hasSubsidiary, Aviva Insurance Company of Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aviva Insurance Company of Canada
Context triple: [Aviva Canada, hasSubsidiary, Aviva Insurance Company of Canada]
  • A. Aviva Canada chosen
    Aviva Canada is a major property and casualty insurance company operating across Canada as part of the global Aviva insurance group.
  • B. Aviva plc
    Aviva plc is a major British multinational insurance company providing life, general, and health insurance services across numerous global markets.
  • C. Sun Life Financial
    Sun Life Financial is a Canadian-based international financial services company best known for its life insurance, wealth management, and retirement solutions.
  • D. Allianz
    Allianz is a leading global financial services company, best known as one of the world’s largest insurance and asset management providers.
  • E. Swiss Re
    Swiss Re is a leading global reinsurance company headquartered in Zurich, Switzerland, providing risk transfer and insurance solutions worldwide.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea4223888190a56d9026ae0b9ec0 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea88464b88190983e22e70bf38e63 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:21 p.m.