Triple

T3143777
Position Surface form Disambiguated ID Type / Status
Subject Bank of Montreal E65714 entity
Predicate tickerSymbol P1447 FINISHED
Object BMO
BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
 E331741 NE FINISHED

How this triple was built (4 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 | Statement: [Bank of Montreal, tickerSymbol, BMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMO
Context triple: [Bank of Montreal, tickerSymbol, BMO]
  • A. BMO
    BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
  • B. BMO
    BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • C. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • D. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • E. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BMO
Triple: [Bank of Montreal, tickerSymbol, BMO]
Generated description
BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMO
Target entity description: BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
  • A. BMO
    BMO is a sentient, childlike video game console and robot who serves as a loyal friend and roommate to Finn and Jake in the animated series Adventure Time.
  • B. BMO
    BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • C. Scotiabank
    Scotiabank is one of Canada's largest multinational banks, offering a wide range of financial services across the Americas and other global markets.
  • D. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • E. BOCHK
    BOCHK is the commonly used abbreviation for Bank of China (Hong Kong), a major commercial banking group based in Hong Kong.
  • F. None of above. chosen

Provenance (5 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_69b224ed4d748190a2af68bf284110e8 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b227bc33e881908d43307d51156ec7 completed March 12, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69b2285e7a5c8190a4e15a9f9b0f0e03 completed March 12, 2026, 2:43 a.m.
Created at: March 8, 2026, 3:05 p.m.