Triple
T598493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Semi |
E11440
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | electric semi-truck |
C4836
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: electric semi-truck Context triple: [Tesla Semi, instanceOf, electric semi-truck]
-
A.
full-size pickup truck
A full-size pickup truck is a large, body-on-frame light-duty vehicle with a spacious cab and a full-length open cargo bed designed for towing, hauling, and versatile work or recreational use.
-
B.
light rail vehicle
A light rail vehicle is a rail-based transit vehicle designed for urban and suburban passenger service, typically operating on dedicated or shared tracks with frequent stops and moderate capacity.
-
C.
sport utility vehicle
A sport utility vehicle is a versatile passenger vehicle that combines elements of on-road cars and off-road trucks, typically offering higher ground clearance, spacious interiors, and optional all-wheel or four-wheel drive for varied driving conditions.
-
D.
streamlined locomotive
A streamlined locomotive is a high-speed railway engine designed with smooth, aerodynamic contours to reduce air resistance and improve efficiency and performance.
-
E.
electric locomotive class
An electric locomotive class is a category of railway locomotives designed and grouped by shared technical and performance characteristics, all powered by electricity from external sources such as overhead lines or third rails.
- F. None of above. chosen
Provenance (1 batch)
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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
Created at: March 1, 2026, 7:35 p.m.