Triple
T1211386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Model N |
E26006
|
entity |
| Predicate | steeringWheelPosition |
P25025
|
FINISHED |
| Object | left-hand drive (for U.S. market) |
—
|
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 (for U.S. market) | Statement: [Ford Model N, steeringWheelPosition, left-hand drive (for U.S. market)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: steeringWheelPosition Context triple: [Ford Model N, steeringWheelPosition, left-hand drive (for U.S. market)]
-
A.
steeringType
Indicates the kind or mechanism of steering control used to direct the movement of an entity.
-
B.
wheelArrangementSystem
Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
-
C.
wheelbase
Indicates the distance between the centers of the front and rear wheels of a vehicle.
-
D.
drivingSide
Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
-
E.
wheelType
Indicates the specific kind or category of wheel associated with 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.