Triple
T11957839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa 3D |
E284597
|
entity |
| Predicate | supportsAPI |
P203
|
FINISHED |
| Object |
OSMesa
OSMesa is an off-screen rendering interface in the Mesa 3D graphics library that allows OpenGL rendering without a display or windowing system.
|
E956169
|
NE FINISHED |
How this triple was built (4 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: OSMesa | Statement: [Mesa 3D, supportsAPI, OSMesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSMesa Context triple: [Mesa 3D, supportsAPI, OSMesa]
-
A.
OpenGL ES
OpenGL ES is a cross-platform, royalty-free 2D and 3D graphics API designed for embedded systems such as mobile devices, game consoles, and automotive displays.
-
B.
GLX
GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
-
C.
Mesa 3D
Mesa 3D is an open-source implementation of the OpenGL and other graphics APIs that provides hardware-accelerated 3D rendering for Unix-like operating systems.
-
D.
OpenGL
OpenGL is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics, widely used in games, simulations, and professional visualization.
-
E.
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OSMesa Triple: [Mesa 3D, supportsAPI, OSMesa]
Generated description
OSMesa is an off-screen rendering interface in the Mesa 3D graphics library that allows OpenGL rendering without a display or windowing system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSMesa Target entity description: OSMesa is an off-screen rendering interface in the Mesa 3D graphics library that allows OpenGL rendering without a display or windowing system.
-
A.
OpenGL ES
OpenGL ES is a cross-platform, royalty-free 2D and 3D graphics API designed for embedded systems such as mobile devices, game consoles, and automotive displays.
-
B.
GLX
GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
-
C.
Mesa 3D
Mesa 3D is an open-source implementation of the OpenGL and other graphics APIs that provides hardware-accelerated 3D rendering for Unix-like operating systems.
-
D.
OpenGL
OpenGL is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics, widely used in games, simulations, and professional visualization.
-
E.
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
- F. None of above. chosen
Provenance (5 batches)
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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903681a00819098c2b5260e2ef834 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:45 p.m.