Triple
T4529833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen ID.3 |
E106266
|
entity |
| Predicate | wheelbaseType |
P33596
|
FINISHED |
| Object | long wheelbase for interior space |
—
|
LITERAL FINISHED |
How this triple was built (2 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: long wheelbase for interior space | Statement: [Volkswagen ID.3, wheelbaseType, long wheelbase for interior space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelbaseType Context triple: [Volkswagen ID.3, wheelbaseType, long wheelbase for interior space]
-
A.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
B.
wheelbaseVariantOf
Indicates a relationship where one vehicle’s wheelbase configuration is a variant or modified version of another vehicle’s wheelbase.
-
C.
wheelbaseClass
chosen
Indicates the classification of a vehicle based on the length or category of its wheelbase.
-
D.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
E.
wheelHeightApprox
Indicates that the height of a wheel is approximately equal to a specified value or to the height of another wheel.
- F. None of above.
Provenance (3 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579ba4188190b4cef6e91772f7e5 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.