TI OMAP3430
E739762
The TI OMAP3430 is a Texas Instruments mobile applications processor that combines an ARM Cortex-A8 CPU with multimedia and power-management features for smartphones and portable devices.
All labels observed (3)
| Label | Occurrences |
|---|---|
| OMAP 3 | 1 |
| TI OMAP3430 canonical | 1 |
| Texas Instruments OMAP3 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8520974 — 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: TI OMAP3430 Context triple: [Motorola Droid, systemOnChip, TI OMAP3430]
-
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 2
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.
-
C.
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.
-
D.
Pixel Qi
Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
-
E.
Tensor G3 chip
The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
- 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: TI OMAP3430 Target entity description: The TI OMAP3430 is a Texas Instruments mobile applications processor that combines an ARM Cortex-A8 CPU with multimedia and power-management features for smartphones and portable devices.
-
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 2
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.
-
C.
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.
-
D.
Pixel Qi
Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
-
E.
Tensor G3 chip
The Tensor G3 chip is Google's custom third-generation mobile processor designed to power Pixel devices with advanced AI, machine learning, and efficiency-focused performance.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
mobile applications processor
ⓘ
system-on-chip ⓘ |
| cpuArchitecture |
ARMv7-A
ⓘ
linked to:
ARMv7-A architecture
|
| familyGeneration | third-generation OMAP platform ⓘ |
| hasBusInterface |
I2C
ⓘ
SPI ⓘ USB ⓘ |
| hasCache |
L1 cache
ⓘ
L2 cache ⓘ |
| hasClockFrequency | up to 600 MHz ⓘ |
| hasCPUCore |
ARM Cortex-A8
ⓘ
linked to:
ARM Cortex-A
|
| hasDSP | TMS320C64x+ DSP ⓘ |
| hasGPU |
PowerVR SGX530
ⓘ
linked to:
Imagination PowerVR
|
| hasISP | integrated image signal processor ⓘ |
| hasMemoryController |
LPDDR
ⓘ
mDDR ⓘ |
| hasPowerManagementFeature |
dynamic voltage and frequency scaling
ⓘ
low-power design ⓘ |
| hasSecurityFeature |
hardware encryption support
ⓘ
secure boot support ⓘ |
| hasVideoAcceleration |
hardware video decode
ⓘ
hardware video encode ⓘ |
| intendedUse |
mobile computing
ⓘ
multimedia applications ⓘ |
| introducedBy |
Texas Instruments OMAP product line
ⓘ
linked to:
TI OMAP 2420
|
| manufacturer | Texas Instruments ⓘ |
| marketSegment | high-end smartphones (late 2000s) ⓘ |
| partOfFamily |
OMAP 3
ⓘ
linked to:
TI OMAP3430
|
| processTechnology | 65 nm CMOS ⓘ |
| successor | TI OMAP3630 ⓘ |
| supportsCameraInterface | CMOS image sensor interface ⓘ |
| supportsDisplayInterface | LCD controller ⓘ |
| supportsInstructionSetExtension | NEON SIMD ⓘ |
| supportsMultimedia |
3D graphics acceleration
ⓘ
audio processing ⓘ video processing ⓘ |
| supportsOperatingSystem |
Android
ⓘ
Linux ⓘ Windows Mobile ⓘ |
| targetDeviceType |
portable device
ⓘ
smartphone ⓘ |
| usedInDevice |
Motorola Droid
ⓘ
Nokia N900 ⓘ Palm Pre ⓘ |
| wordSize | 32-bit ⓘ |
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: TI OMAP3430 Description of subject: The TI OMAP3430 is a Texas Instruments mobile applications processor that combines an ARM Cortex-A8 CPU with multimedia and power-management features for smartphones and portable devices.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.