Triple
T13805196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of Montreal |
E331741
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | BMO |
E331741
|
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 | Statement: [Bank of Montreal, tradedAs, BMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMO Context triple: [Bank of Montreal, tradedAs, 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.
BMO
chosen
BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
-
D.
BMO Capital Markets
BMO Capital Markets is the investment and corporate banking division of the Bank of Montreal, providing services such as capital raising, advisory, and trading to institutional, corporate, and government clients globally.
-
E.
BMO Nesbitt Burns
BMO Nesbitt Burns is a Canadian investment dealer and wealth management firm providing brokerage, advisory, and financial planning services as part of the Bank of Montreal’s capital markets and private client operations.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:12 p.m.