Enlightenment Foundation Libraries
E828352
Enlightenment Foundation Libraries (EFL) is a collection of open-source graphics and user interface libraries designed for building highly efficient, visually rich applications, particularly on resource-constrained and embedded systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Enlightenment Foundation Libraries canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9900003 — 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: Enlightenment Foundation Libraries Context triple: [Tizen, supportsUserInterfaceToolkit, Enlightenment Foundation Libraries]
-
A.
Glew
Glew is a town in the southern Greater Buenos Aires area of Argentina that serves as a stop on the Roca Line suburban railway network.
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B.
GNU C Library
The GNU C Library (glibc) is the GNU Project’s core implementation of the standard C library, providing fundamental system call wrappers and APIs used by most GNU/Linux and Unix-like systems.
-
C.
Anti-Grain Geometry
Anti-Grain Geometry is a high-quality, open-source, platform-independent 2D graphics rendering engine known for its sub-pixel accuracy and anti-aliasing capabilities.
-
D.
DL Boost
DL Boost is Intel’s deep learning acceleration technology that enhances AI inference performance on its processors through specialized instruction set extensions.
-
E.
Eelworks
Eelworks is a poem featured in the collection "Human Chain" by the Irish Nobel laureate Seamus Heaney.
- 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: Enlightenment Foundation Libraries Target entity description: Enlightenment Foundation Libraries (EFL) is a collection of open-source graphics and user interface libraries designed for building highly efficient, visually rich applications, particularly on resource-constrained and embedded systems.
-
A.
Glew
Glew is a town in the southern Greater Buenos Aires area of Argentina that serves as a stop on the Roca Line suburban railway network.
-
B.
GNU C Library
The GNU C Library (glibc) is the GNU Project’s core implementation of the standard C library, providing fundamental system call wrappers and APIs used by most GNU/Linux and Unix-like systems.
-
C.
Anti-Grain Geometry
Anti-Grain Geometry is a high-quality, open-source, platform-independent 2D graphics rendering engine known for its sub-pixel accuracy and anti-aliasing capabilities.
-
D.
DL Boost
DL Boost is Intel’s deep learning acceleration technology that enhances AI inference performance on its processors through specialized instruction set extensions.
-
E.
Eelworks
Eelworks is a poem featured in the collection "Human Chain" by the Irish Nobel laureate Seamus Heaney.
- F. None of above. chosen
Statements (65)
| Predicate | Object |
|---|---|
| instanceOf |
GUI toolkit
ⓘ
graphics library ⓘ open-source software ⓘ software library collection ⓘ widget toolkit ⓘ |
| alsoKnownAs | EFL NERFINISHED ⓘ |
| component |
Ecore
NERFINISHED
ⓘ
Ecore_Audio NERFINISHED ⓘ Ecore_Avahi NERFINISHED ⓘ Ecore_Buffer NERFINISHED ⓘ Ecore_Cocoa NERFINISHED ⓘ Ecore_Con NERFINISHED ⓘ Ecore_Con_Eet NERFINISHED ⓘ Ecore_Con_Url NERFINISHED ⓘ Ecore_Drm NERFINISHED ⓘ Ecore_Drm2 NERFINISHED ⓘ Ecore_Evas NERFINISHED ⓘ Ecore_FB NERFINISHED ⓘ Ecore_File NERFINISHED ⓘ Ecore_IMF NERFINISHED ⓘ Ecore_Input NERFINISHED ⓘ Ecore_Input_Evas NERFINISHED ⓘ Ecore_Psl1ght NERFINISHED ⓘ Ecore_SDL NERFINISHED ⓘ Ecore_Wayland NERFINISHED ⓘ Ecore_Wayland2 NERFINISHED ⓘ Ecore_Win32 NERFINISHED ⓘ Ecore_WinCE NERFINISHED ⓘ Ecore_X NERFINISHED ⓘ Ecore_X11 NERFINISHED ⓘ Edje NERFINISHED ⓘ Eet NERFINISHED ⓘ Efreet NERFINISHED ⓘ Eina NERFINISHED ⓘ Eio ⓘ Eldbus NERFINISHED ⓘ Elementary NERFINISHED ⓘ Emotion ⓘ Evas NERFINISHED ⓘ |
| designedFor |
embedded systems
ⓘ
resource-constrained systems ⓘ |
| developer | Enlightenment project NERFINISHED ⓘ |
| focus |
high performance
ⓘ
low memory usage ⓘ visually rich applications ⓘ |
| license |
BSD 2-Clause License
NERFINISHED
ⓘ
LGPL-2.1-or-later ⓘ |
| openSource | true ⓘ |
| programmingLanguage | C ⓘ |
| supports |
Android
NERFINISHED
ⓘ
BSD NERFINISHED ⓘ Linux NERFINISHED ⓘ Windows NERFINISHED ⓘ embedded Linux ⓘ macOS NERFINISHED ⓘ |
| supportsLanguageBindings |
C++
ⓘ
JavaScript NERFINISHED ⓘ Lua NERFINISHED ⓘ Python NERFINISHED ⓘ |
| supportsRenderingBackend |
OpenGL
NERFINISHED
ⓘ
OpenGL ES NERFINISHED ⓘ software rendering ⓘ |
| usedBy |
Enlightenment desktop shell
NERFINISHED
ⓘ
Tizen platform NERFINISHED ⓘ |
| website | https://www.enlightenment.org/about-efl ⓘ |
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: Enlightenment Foundation Libraries Description of subject: Enlightenment Foundation Libraries (EFL) is a collection of open-source graphics and user interface libraries designed for building highly efficient, visually rich applications, particularly on resource-constrained and embedded systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.