Triple

T8035300
Position Surface form Disambiguated ID Type / Status
Subject Virgin America E187091 entity
Predicate ICAOcode P419 FINISHED
Object VRD
VRD is the ICAO airline designator used to identify Virgin America in aviation operations and communications.
 E708865 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: VRD | Statement: [Virgin America, ICAOcode, VRD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VRD
Context triple: [Virgin America, ICAOcode, VRD]
  • A. VRN
    VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
  • B. RVD
    RVD is the ring name of Rob Van Dam, a high-flying, innovative professional wrestler best known for his time in ECW and WWE.
  • C. MVRD
    MVRD is the commonly used acronym for the regional government district that encompasses the metropolitan area of Vancouver in British Columbia, Canada.
  • D. VRC
    VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
  • E. VRA
    VRA is the regional public transport authority responsible for planning and coordinating mobility and infrastructure in the Amsterdam metropolitan area.
  • 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: VRD
Triple: [Virgin America, ICAOcode, VRD]
Generated description
VRD is the ICAO airline designator used to identify Virgin America in aviation operations and communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VRD
Target entity description: VRD is the ICAO airline designator used to identify Virgin America in aviation operations and communications.
  • A. VRN
    VRN is the public transport association serving Germany’s Rhine-Neckar metropolitan region, coordinating regional and local transit services across multiple states.
  • B. RVD
    RVD is the ring name of Rob Van Dam, a high-flying, innovative professional wrestler best known for his time in ECW and WWE.
  • C. MVRD
    MVRD is the commonly used acronym for the regional government district that encompasses the metropolitan area of Vancouver in British Columbia, Canada.
  • D. VRC
    VRC is the commonly used abbreviation for the Victoria Racing Club, the principal horse racing club based at Flemington Racecourse in Melbourne, Australia.
  • E. VRA
    VRA is the regional public transport authority responsible for planning and coordinating mobility and infrastructure in the Amsterdam metropolitan area.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:22 p.m.