Triple
T30913608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrain Response |
E787521
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Land Rover technology |
C20323
|
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: Land Rover technology Context triple: [Terrain Response, instanceOf, Land Rover technology]
-
A.
Automotive technology
chosen
Automotive technology encompasses the design, development, operation, and maintenance of motor vehicles and their supporting systems, including engines, electronics, safety features, and emerging innovations like electric and autonomous driving.
-
B.
Rolls-Royce vehicle range
The Rolls-Royce vehicle range is a collection of ultra-luxury automobiles that combine bespoke craftsmanship, advanced engineering, and refined performance to deliver an exceptionally opulent driving experience.
-
C.
Porsche technology
Porsche technology encompasses the advanced engineering, innovative powertrain systems, precision aerodynamics, and cutting-edge digital features that enhance performance, efficiency, and driving experience across Porsche vehicles.
-
D.
Ford vehicle platform
A Ford vehicle platform is a shared engineering and structural foundation used across multiple Ford models to standardize components, reduce costs, and streamline design and production.
-
E.
Nissan technology
Nissan technology encompasses the innovative automotive systems, electric powertrains, safety features, and connectivity solutions developed by Nissan to enhance vehicle performance, efficiency, and driver experience.
- F. None of above.
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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 8:51 p.m.