Triple
T6740859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviva |
E154074
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Aviva 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 Canada | Statement: [Aviva, hasSubsidiary, Aviva Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aviva Canada Context triple: [Aviva, hasSubsidiary, Aviva 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.
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.
-
C.
CIBC
CIBC is one of Canada’s largest chartered banks, offering a wide range of financial services including personal, business, and investment banking.
-
D.
Scotiabank
Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
-
E.
Rogers Bank
Rogers Bank is a Canadian financial institution owned by Rogers Communications that focuses primarily on consumer credit card and payment products.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18971e081908372cd25d52a11bd |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a1aa948190b3e191c7be48ac0e |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:10 p.m.