Triple
T18861185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i-Cockpit interior design |
E461313
|
entity |
| Predicate | steeringWheelType |
P133211
|
FINISHED |
| Object | small-diameter steering wheel |
—
|
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: small-diameter steering wheel | Statement: [i-Cockpit interior design, steeringWheelType, small-diameter steering wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steeringWheelType Context triple: [i-Cockpit interior design, steeringWheelType, small-diameter steering wheel]
-
A.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
B.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
C.
hasLeadingWheelArrangement
Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
-
D.
hasSteering
Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
-
E.
driveType
Indicates the type or configuration of the drive mechanism used to power or propel an entity.
- F. None of above. chosen
Provenance (4 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.