Triple

T14776922
Position Surface form Disambiguated ID Type / Status
Subject Volunteer Reserves E347283 entity
Predicate hasAbbreviation P43 FINISHED
Object VR
VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
 E1119202 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: VR | Statement: [Volunteer Reserves, hasAbbreviation, VR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VR
Context triple: [Volunteer Reserves, hasAbbreviation, VR]
  • A. VR
    VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
  • B. VRT
    VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
  • C. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • D. YouTube VR
    YouTube VR is a virtual reality version of YouTube that lets users watch 2D, 3D, and 360° videos in an immersive VR environment.
  • E. Google Photos VR viewer
    Google Photos VR viewer is a virtual reality application that lets users explore their Google Photos library in an immersive 360-degree environment.
  • 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: VR
Triple: [Volunteer Reserves, hasAbbreviation, VR]
Generated description
VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VR
Target entity description: VR is the abbreviation used for the Volunteer Reserves, the part-time volunteer component of the British Armed Forces.
  • A. VR
    VR is a vehicle registration code used on license plates to identify vehicles registered in Bergen auf Rügen, Germany.
  • B. VRT
    VRT is Belgium’s public-service broadcaster for the Flemish Community, providing television, radio, and online media.
  • C. VRG
    VRG is the ICAO airline designator for Varig, the former Brazilian flag carrier and one of Latin America's historically significant airlines.
  • D. YouTube VR
    YouTube VR is a virtual reality version of YouTube that lets users watch 2D, 3D, and 360° videos in an immersive VR environment.
  • E. Google Photos VR viewer
    Google Photos VR viewer is a virtual reality application that lets users explore their Google Photos library in an immersive 360-degree environment.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec817c39081909b08a0ffdfce9936 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cff0474819092e8447f2f13cf59 completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe1cd4e298819099288c21852f3ae2 completed May 8, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_69fe1d6a3360819081eeb43c2a4f84c3 completed May 8, 2026, 5:29 p.m.
Created at: April 10, 2026, 1:31 a.m.