Triple

T5215691
Position Surface form Disambiguated ID Type / Status
Subject Indy workstation E117746 entity
Predicate supports P516 FINISHED
Object OpenGL E116587 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 | Statement: [Indy workstation, supports, OpenGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL
Context triple: [Indy workstation, supports, OpenGL]
  • A. OpenGL chosen
    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.
  • B. 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.
  • C. GLX
    GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
  • D. GLSL
    GLSL (OpenGL Shading Language) is a C-like programming language used to write programmable shaders for graphics pipelines in OpenGL and WebGL.
  • E. EGL
    EGL is the station code used to identify Eglinton station in transit systems and related services.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a93fcc08190a1d2d025b4365d5a completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06b04cd881909e31b4e533dc4ae8 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:48 p.m.