Triple

T8420182
Position Surface form Disambiguated ID Type / Status
Subject Royal Malaysian Navy E198828 entity
Predicate abbreviation P43 FINISHED
Object RMN
RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
 E732231 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: RMN | Statement: [Royal Malaysian Navy, abbreviation, RMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RMN
Context triple: [Royal Malaysian Navy, abbreviation, RMN]
  • A. RMN
    RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
  • 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. MRN
    MRN is the commonly used abbreviation for the Rhine-Neckar metropolitan region in southwestern Germany, a major economic and cultural hub spanning parts of Baden-Württemberg, Hesse, and Rhineland-Palatinate.
  • 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: RMN
Triple: [Royal Malaysian Navy, abbreviation, RMN]
Generated description
RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RMN
Target entity description: RMN is the acronym for the Royal Malaysian Navy, the naval warfare branch of Malaysia’s armed forces.
  • A. RMN
    RMN is the three-letter IATA airport code assigned to Stafford Regional Airport in Stafford, Virginia, United States.
  • 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. MRN
    MRN is the commonly used abbreviation for the Rhine-Neckar metropolitan region in southwestern Germany, a major economic and cultural hub spanning parts of Baden-Württemberg, Hesse, and Rhineland-Palatinate.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c941988190884a5c0cbb44bcc2 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03476b288190b3df8f9f4d502ea8 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0782b0dc8190bf971eacb3b4582c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce0854ce788190a209f229d504c038 completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:06 p.m.