Triple

T7387251
Position Surface form Disambiguated ID Type / Status
Subject Alchemist E170410 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: [Alchemist, supports, OpenGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL
Context triple: [Alchemist, 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f2bac481908ac74069182a4ce4 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e56fb48190976612d2a94d6ee5 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:08 p.m.