Triple
T13525921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GR86 |
E323015
|
entity |
| Predicate | steeringLayout |
P25025
|
FINISHED |
| Object | left-hand 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: left-hand drive | Statement: [GR86, steeringLayout, left-hand drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steeringLayout Context triple: [GR86, steeringLayout, left-hand drive]
-
A.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
B.
hasSteering
Indicates that one entity is equipped with or possesses a steering mechanism that allows control of its direction.
-
C.
controlLayout
Indicates that one entity determines or manages the spatial or structural arrangement of another entity.
-
D.
steeringWheelPosition
chosen
Indicates the relative location or orientation of a steering wheel with respect to a reference point, such as a vehicle’s interior layout or driving side.
-
E.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.