Triple

T10214295
Position Surface form Disambiguated ID Type / Status
Subject Core Image E242402 entity
Predicate uses P98 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: [Core Image, uses, OpenGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL
Context triple: [Core Image, uses, 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. 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.
  • D. GLX
    GLX is the OpenGL Extension to the X Window System that enables rendering OpenGL graphics within X11-based applications.
  • E. GLSL
    GLSL (OpenGL Shading Language) is a C-like programming language used to write programmable shaders for graphics pipelines in OpenGL and WebGL.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa273bdc8190bc4cf67a7923cebc completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652ea80dc81908bc65ee2ec390467 completed April 8, 2026, 1:06 p.m.
Created at: April 6, 2026, 11:04 a.m.