Triple

T3143782
Position Surface form Disambiguated ID Type / Status
Subject Bank of Montreal E65714 entity
Predicate tradeName P1500 FINISHED
Object BMO Financial Group 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: BMO Financial Group | Statement: [Bank of Montreal, tradeName, BMO Financial Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BMO Financial Group
Context triple: [Bank of Montreal, tradeName, BMO Financial Group]
  • A. 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.
  • 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. 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.
  • D. BMO
    BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • E. BMO
    BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59489a88190b0962cef091f4ddb completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b6685c8190b88501d7b2ad0d25 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.