Triple
T11330495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota K platform (earlier generations) |
E268329
|
entity |
| Predicate | vehicleLayoutSupported |
P45176
|
FINISHED |
| Object | front-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: front-wheel-drive | Statement: [Toyota K platform (earlier generations), vehicleLayoutSupported, front-wheel-drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleLayoutSupported Context triple: [Toyota K platform (earlier generations), vehicleLayoutSupported, front-wheel-drive]
-
A.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
B.
hasVehicleDeck
Indicates that something (typically a vessel or structure) includes a dedicated deck or level designed for carrying or transporting vehicles.
-
C.
driveLayoutSupported
chosen
Indicates that a particular drive layout or configuration is compatible with and can be correctly handled by a given system or component.
-
D.
hasPassengerArea
Indicates that an object or vehicle includes a designated area intended for carrying passengers.
-
E.
hasLongitudinalSeating
Indicates that an entity features seating arranged lengthwise along its sides rather than across its width.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fd38308190a5458be1bfcc89ea |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787afe5a48190b8af1a3e19529641 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.