Triple
T2300241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford S650 platform |
E51712
|
entity |
| Predicate | wheelDriveConfiguration |
P4169
|
FINISHED |
| Object | rear-wheel drive only |
—
|
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 only | Statement: [Ford S650 platform, wheelDriveConfiguration, rear-wheel drive only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelDriveConfiguration Context triple: [Ford S650 platform, wheelDriveConfiguration, rear-wheel drive only]
-
A.
driveType
chosen
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
-
B.
drivetrainRole
Indicates the functional role or position an entity has within a drivetrain system (e.g., input, transmission, or output component).
-
C.
drivingForce
Indicates a causal influence or motivating factor that propels or significantly shapes another process, event, or outcome.
-
D.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
E.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.