Triple

T6180026
Position Surface form Disambiguated ID Type / Status
Subject Royal Bank of Canada E137917 entity
Predicate shortName P43 FINISHED
Object RBC
RBC is a major Canadian multinational financial services company and one of the largest banks in North America by market capitalization.
E572896 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: RBC | Statement: [Royal Bank of Canada, shortName, RBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RBC
Context triple: [Royal Bank of Canada, shortName, RBC]
  • A. BMO
    BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
  • B. 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.
  • C. BMO
    BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • D. RBK
    RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
  • E. RBA
    RBA is a post-nominal title indicating membership in the Royal Society of British Artists, a prestigious UK art institution.
  • 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: RBC
Triple: [Royal Bank of Canada, shortName, RBC]
Generated description
RBC is a major Canadian multinational financial services company and one of the largest banks in North America by market capitalization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RBC
Target entity description: RBC is a major Canadian multinational financial services company and one of the largest banks in North America by market capitalization.
  • A. BMO
    BMO is the stock ticker symbol for the Bank of Montreal, one of Canada’s largest and oldest financial institutions.
  • B. 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.
  • C. BMO
    BMO is the National Rail station code for Birmingham Moor Street railway station in Birmingham, England.
  • D. RBK
    RBK is the commonly used abbreviation for Rosenborg Ballklub, a leading Norwegian football club based in Trondheim.
  • E. RBA
    RBA is a post-nominal title indicating membership in the Royal Society of British Artists, a prestigious UK art institution.
  • 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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c060fca4cc8190bf95231cd2a594c1 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141bf3f4081909849e38d322da251 completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c14626cab4819092843ff0ea83a6f1 completed March 23, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69c146d749dc8190b59f6e0001b5729d completed March 23, 2026, 1:57 p.m.
Created at: March 22, 2026, 4:18 p.m.