Triple
T315635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMT K2XX |
E7699
|
entity |
| Predicate | drivetrainLayoutSupported |
P4169
|
FINISHED |
| Object | rear-wheel drive |
—
|
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: rear-wheel drive | Statement: [GMT K2XX, drivetrainLayoutSupported, rear-wheel drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivetrainLayoutSupported Context triple: [GMT K2XX, drivetrainLayoutSupported, rear-wheel drive]
-
A.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
B.
offersPowertrain
Indicates that one entity provides or makes available a specific powertrain to another entity or for a particular product.
-
C.
driveType
chosen
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
D.
electricMotorType
Indicates the specific kind or category of electric motor associated with an entity.
-
E.
wheelArrangementSystem
Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e943f12c8190883854aeed974260 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.