Triple

T554435
Position Surface form Disambiguated ID Type / Status
Subject Royal Auxiliary Air Force E11910 entity
Predicate hasAbbreviation P43 FINISHED
Object RAuxAF
RAuxAF is the abbreviation for the Royal Auxiliary Air Force, the volunteer reserve component of the United Kingdom’s Royal Air Force.
 E69403 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: RAuxAF | Statement: [Royal Auxiliary Air Force, hasAbbreviation, RAuxAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RAuxAF
Context triple: [Royal Auxiliary Air Force, hasAbbreviation, RAuxAF]
  • A. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • B. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • C. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • 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: RAuxAF
Triple: [Royal Auxiliary Air Force, hasAbbreviation, RAuxAF]
Generated description
RAuxAF is the abbreviation for the Royal Auxiliary Air Force, the volunteer reserve component of the United Kingdom’s Royal Air Force.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RAuxAF
Target entity description: RAuxAF is the abbreviation for the Royal Auxiliary Air Force, the volunteer reserve component of the United Kingdom’s Royal Air Force.
  • A. RA
    RA is the commonly used abbreviation for the Royal Regiment of Artillery, a principal artillery branch of the British Army.
  • B. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • C. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • D. RALE
    RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • E. AF
    AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991c524481908b2bb88c4feabec6 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e3f90058819081167bac387f8023 completed March 2, 2026, 1:12 a.m.
NEDg Description generation batch_69a4e497da648190b9e07fe94488be0d completed March 2, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69a4e525eb18819083018d392ba4b2fa completed March 2, 2026, 1:17 a.m.
Created at: March 1, 2026, 7:32 p.m.