Triple

T11957223
Position Surface form Disambiguated ID Type / Status
Subject GLX E284583 entity
Predicate fullName P16 FINISHED
Object OpenGL Extension to the X Window System E284583 NE FINISHED

How this triple was built (2 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: OpenGL Extension to the X Window System | Statement: [GLX, fullName, OpenGL Extension to the X Window System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL Extension to the X Window System
Context triple: [GLX, fullName, OpenGL Extension to the X Window System]
  • A. GLX chosen
    GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 8, 2026, 9:45 p.m.