Nvidia Tegra 2
E701993
Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
All labels observed (3)
| Label | Occurrences |
|---|---|
| NVIDIA Tegra 2 | 1 |
| Nvidia Tegra 2 canonical | 1 |
| Tegra 2 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7857487 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nvidia Tegra 2 Context triple: [Nvidia Tegra 3, predecessor, Nvidia Tegra 2]
-
A.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
-
B.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
C.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
-
D.
Apple A4
Apple A4 is Apple’s first in-house designed system-on-a-chip, introduced in 2010 to power devices like the iPhone 4 and original iPad.
-
E.
Apple A5
The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nvidia Tegra 2 Target entity description: Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
-
A.
Nvidia Tegra 3
Nvidia Tegra 3 is a quad-core ARM-based mobile system-on-chip designed by Nvidia for tablets and smartphones, known for integrating CPU, GPU, and memory controller to deliver improved performance and power efficiency.
-
B.
Nvidia Tegra 4
Nvidia Tegra 4 is a mobile system-on-chip by Nvidia that significantly improved performance and power efficiency for smartphones and tablets over its predecessor.
-
C.
Nvidia Tegra X1
The Nvidia Tegra X1 is a mobile system-on-chip that combines ARM CPU cores with an integrated Maxwell-based GPU, widely known for powering devices like the Nintendo Switch.
-
D.
Apple A4
Apple A4 is Apple’s first in-house designed system-on-a-chip, introduced in 2010 to power devices like the iPhone 4 and original iPad.
-
E.
Apple A5
The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
Nvidia Tegra SoC
ⓘ
mobile system-on-chip ⓘ |
| application |
Android smartphones
ⓘ
Android tablets ⓘ mobile internet devices ⓘ |
| architecture | ARM ⓘ |
| brand | Tegra ⓘ |
| category |
mobile processor
ⓘ
system-on-chip ⓘ |
| computingPlatform | mobile computing ⓘ |
| CPUCoreConfiguration | dual-core ⓘ |
| CPUCoreCount | 2 ⓘ |
| CPUCoreType |
ARM Cortex-A9
ⓘ
linked to:
ARM Cortex-A
|
| designer |
Nvidia
ⓘ
linked to:
NVIDIA Corporation
|
| family | Tegra ⓘ |
| graphicsVendor |
Nvidia
ⓘ
linked to:
NVIDIA Corporation
|
| instructionSetArchitecture | ARM ⓘ |
| integrates |
CPU
ⓘ
GPU ⓘ audio processor ⓘ memory controller ⓘ video decoder ⓘ |
| introducedAs | second-generation Tegra SoC ⓘ |
| isARMBased | true ⓘ |
| isMultiCore | true ⓘ |
| manufacturer |
Nvidia
ⓘ
linked to:
NVIDIA Corporation
|
| marketSegment |
mobile devices
ⓘ
smartphones ⓘ tablets ⓘ |
| notableFor | being one of the first widely adopted dual-core mobile processors ⓘ |
| notableImpact | accelerated adoption of multi-core CPUs in mobile devices ⓘ |
| powerEfficiencyOptimizedFor | battery-powered devices ⓘ |
| predecessor |
Nvidia Tegra
ⓘ
linked to:
Tegra
|
| successor | Nvidia Tegra 3 ⓘ |
| supports |
ARMv7 instruction set
ⓘ
linked to:
ARMv7-A architecture
|
| targetDeviceType |
consumer electronics
ⓘ
handheld devices ⓘ |
| technologyType | SoC ⓘ |
| usedIn |
early Android smartphones
ⓘ
early Android tablets ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Nvidia Tegra 2 Description of subject: Nvidia Tegra 2 is a dual-core ARM-based system-on-chip by Nvidia that powered many early smartphones and tablets, marking one of the first widely adopted multi-core mobile processors.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.