Triple

T7487580
Position Surface form Disambiguated ID Type / Status
Subject Royal Montreal Regiment E176920 entity
Predicate nickname P55 FINISHED
Object RMR
The RMR is a Canadian Army Primary Reserve infantry regiment based in Westmount, Quebec, with a distinguished history of service in both World Wars and subsequent conflicts.
 E667682 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: RMR | Statement: [Royal Montreal Regiment, nickname, RMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RMR
Context triple: [Royal Montreal Regiment, nickname, RMR]
  • A. BMR
    BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
  • B. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • C. RM
    RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
  • D. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • E. RMD
    RMD is the National Rail station code for Richmond railway station in London, a major transport hub served by both mainline and London Underground services.
  • 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: RMR
Triple: [Royal Montreal Regiment, nickname, RMR]
Generated description
The RMR is a Canadian Army Primary Reserve infantry regiment based in Westmount, Quebec, with a distinguished history of service in both World Wars and subsequent conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RMR
Target entity description: The RMR is a Canadian Army Primary Reserve infantry regiment based in Westmount, Quebec, with a distinguished history of service in both World Wars and subsequent conflicts.
  • A. BMR
    BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
  • B. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • C. RM
    RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
  • D. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • E. RMD
    RMD is the National Rail station code for Richmond railway station in London, a major transport hub served by both mainline and London Underground services.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f55965ac81909d3c3a5422b22d44 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c6d7dc08190b5d030e3eff9b108 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d7100f081909e69801db3628c30 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c83dc9102881908e17512d3a14990a completed March 28, 2026, 8:44 p.m.
Created at: March 27, 2026, 3:43 p.m.