Broadcom BCM2763
E950058
The Broadcom BCM2763 is a mobile multimedia processor and graphics chip designed to accelerate high-definition video and advanced graphics in smartphones and portable devices.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Broadcom BCM2727 | 4 |
| Broadcom BCM2763 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11830604 — 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: Broadcom BCM2763 Context triple: [Nokia 808 PureView, gpu, Broadcom BCM2763]
-
A.
Raspberry Pi
Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
-
B.
BeagleBone Black
BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
-
C.
Nvidia Tegra K1
The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
-
D.
Nvidia Tegra X2
Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
-
E.
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.
- 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: Broadcom BCM2763 Target entity description: The Broadcom BCM2763 is a mobile multimedia processor and graphics chip designed to accelerate high-definition video and advanced graphics in smartphones and portable devices.
-
A.
Raspberry Pi
Raspberry Pi is a low-cost, credit card–sized single-board computer widely used for education, DIY electronics projects, and lightweight computing tasks.
-
B.
BeagleBone Black
BeagleBone Black is a low-cost, community-supported single-board computer based on an ARM Cortex-A8 processor, commonly used for embedded systems, robotics, and hardware prototyping.
-
C.
Nvidia Tegra K1
The Nvidia Tegra K1 is a mobile system-on-chip that introduced desktop-class Kepler GPU architecture to smartphones and tablets, significantly boosting their graphics and compute performance.
-
D.
Nvidia Tegra X2
Nvidia Tegra X2 is a high-performance system-on-chip by Nvidia that combines ARM CPU cores with Pascal-based GPU architecture, designed primarily for embedded, automotive, and edge AI applications.
-
E.
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.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
graphics processing unit
ⓘ
mobile multimedia processor ⓘ system-on-chip ⓘ |
| alsoKnownAs | BCM2763 VideoCore IV NERFINISHED ⓘ |
| announcedBy | Broadcom NERFINISHED ⓘ |
| architecture | VideoCore IV NERFINISHED ⓘ |
| category |
mobile graphics chip
ⓘ
multimedia coprocessor ⓘ |
| designedFor |
advanced mobile graphics
ⓘ
high-definition video playback ⓘ high-definition video recording ⓘ |
| feature |
2D graphics acceleration
ⓘ
3D graphics acceleration ⓘ advanced 3D graphics acceleration ⓘ hardware video codec support ⓘ high-definition video acceleration ⓘ image signal processing ⓘ low power consumption ⓘ mobile gaming acceleration ⓘ video decoding ⓘ video encoding ⓘ |
| hasCore | VideoCore IV GPU NERFINISHED ⓘ |
| intendedUse |
portable media devices
ⓘ
smartphones ⓘ |
| manufacturer | Broadcom NERFINISHED ⓘ |
| processTechnology | 40 nm ⓘ |
| supports2DGraphics | yes ⓘ |
| supports3DGraphics | yes ⓘ |
| supportsAPI |
OpenGL ES
NERFINISHED
ⓘ
OpenGL ES 2.0 NERFINISHED ⓘ OpenVG NERFINISHED ⓘ |
| supportsCameraResolution | 20 megapixels GENERATED ⓘ |
| supportsDisplayType |
LCD
ⓘ
OLED ⓘ |
| supportsFrameRate |
1080p at 30 fps
ⓘ
720p at 60 fps ⓘ |
| supportsVideoOutput | HDMI ⓘ |
| supportsVideoResolution | 1080p ⓘ |
| supportsVideoStandard |
AVS
NERFINISHED
ⓘ
DivX NERFINISHED ⓘ H.264 NERFINISHED ⓘ MPEG-4 ⓘ VC-1 NERFINISHED ⓘ VP8 NERFINISHED ⓘ Xvid NERFINISHED ⓘ |
| targetMarket |
high-end smartphones
ⓘ
portable media players ⓘ |
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: Broadcom BCM2763 Description of subject: The Broadcom BCM2763 is a mobile multimedia processor and graphics chip designed to accelerate high-definition video and advanced graphics in smartphones and portable devices.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Broadcom BCM2727