Triple
T33675802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford T6 platform |
E862755
|
entity |
| Predicate | supportsBodyStyles |
—
|
GENERATED |
| Object | double cab pickup |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBodyStyles Context triple: [Ford T6 platform, supportsBodyStyles, double cab pickup]
-
A.
supportsBody
Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
-
B.
supportsBodyType
chosen
Indicates that one entity is compatible with, designed for, or can accommodate a specified body type.
-
C.
associatedWithBodyStyles
Indicates a relationship where something (such as a product, model, or item) is linked or connected to one or more specific body styles.
-
D.
offersBodyStyle
Indicates that an entity (such as a manufacturer or model line) makes a particular vehicle body style available as an option.
-
E.
appliesToBodyType
Indicates that something (such as a rule, feature, or specification) is relevant or applicable to a particular body type.
- F. None of above.
Provenance (1 batch)
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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:43 a.m.