Triple

T28858481
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Caddy E728798 entity
Predicate longWheelbaseName P33596 FINISHED
Object Caddy Maxi
The Caddy Maxi is the extended-wheelbase version of Volkswagen's compact Caddy van, offering increased passenger and cargo space for commercial and family use.
 E1836186 NE FINISHED

How this triple was built (3 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: Caddy Maxi | Statement: [Volkswagen Caddy, longWheelbaseName, Caddy Maxi]
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: Caddy Maxi
Triple: [Volkswagen Caddy, longWheelbaseName, Caddy Maxi]
Generated description
The Caddy Maxi is the extended-wheelbase version of Volkswagen's compact Caddy van, offering increased passenger and cargo space for commercial and family use.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: longWheelbaseName
Context triple: [Volkswagen Caddy, longWheelbaseName, Caddy Maxi]
  • A. wheelbase
    Indicates the distance between the centers of the front and rear wheels of a vehicle.
  • B. wheelbaseComparedTo
    Indicates a comparison between the distances between the front and rear wheel axles (wheelbases) of two entities, specifying how one wheelbase relates in size or length to the other.
  • C. wheelbaseVariantOf
    Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
  • D. wheelbaseClass chosen
    Indicates the classification of a vehicle based on the length or category of its wheelbase.
  • E. hasLeadingWheelArrangement
    Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
  • F. None of above.

Provenance (6 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_69f0319f4e5481909e4c439dbe8be940 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65a14eaa081908113d246dbaf86dd completed May 2, 2026, 8:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbbfd1b08190840af4a4d5f64c70 completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c119da5c81909d6e30197c1c496a completed June 7, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a24c4f2fd5c8190a9ab30778df67cfb completed June 7, 2026, 1:10 a.m.
PD Predicate disambiguation batch_69f65762b5e481908a30ca963dcba4be completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:46 a.m.