Triple

T1321885
Position Surface form Disambiguated ID Type / Status
Subject BMO Field E28235 entity
Predicate sponsor P67 FINISHED
Object Bank of Montreal E65714 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: Bank of Montreal | Statement: [BMO Field, sponsor, Bank of Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Montreal
Context triple: [BMO Field, sponsor, Bank of Montreal]
  • A. Bank of Montreal chosen
    Bank of Montreal is one of Canada’s largest and oldest banks, providing a wide range of financial services to individuals, businesses, and institutions domestically and internationally.
  • B. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • C. Royal Bank of Canada
    Royal Bank of Canada is one of Canada’s largest and oldest financial institutions, offering a wide range of banking and financial services domestically and internationally.
  • D. TD Bank
    TD Bank is a major North American banking institution headquartered in Canada, known for its extensive retail banking network and consumer-focused financial services.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf6a6d08190b8a30c2c64f15f59 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:55 p.m.