Triple

T22815141
Position Surface form Disambiguated ID Type / Status
Subject IETF RMCAT Working Group E565077 entity
Predicate abbreviation P43 FINISHED
Object RMCAT
RMCAT is an IETF working group focused on developing congestion control mechanisms for real-time interactive media over IP networks.
 E1554556 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: RMCAT | Statement: [IETF RMCAT Working Group, abbreviation, RMCAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RMCAT
Context triple: [IETF RMCAT Working Group, abbreviation, RMCAT]
  • A. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • B. RMC
    RMC is the National Rail station code for Rotherham Central railway station in South Yorkshire, England.
  • C. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • D. RCM
    RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
  • E. RMAC
    RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
  • 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: RMCAT
Triple: [IETF RMCAT Working Group, abbreviation, RMCAT]
Generated description
RMCAT is an IETF working group focused on developing congestion control mechanisms for real-time interactive media over IP networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RMCAT
Target entity description: RMCAT is an IETF working group focused on developing congestion control mechanisms for real-time interactive media over IP networks.
  • A. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • B. RMC
    RMC is the National Rail station code for Rotherham Central railway station in South Yorkshire, England.
  • C. RCM
    RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
  • D. RCM
    RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
  • E. RMAC
    RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcb872881909a031d8560635fce completed April 29, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea500e4819080d2d5c23d00c10a completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0b9f2faab881908a0459059e2ef18e completed May 18, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9fbfa2a88190b10d767dc91c84cf completed May 18, 2026, 11:24 p.m.
Created at: April 17, 2026, 3:33 p.m.