Triple

T11243830
Position Surface form Disambiguated ID Type / Status
Subject OpenGL ES E266145 entity
Predicate version P3286 FINISHED
Object OpenGL ES 3.2 E266145 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 ES 3.2 | Statement: [OpenGL ES, version, OpenGL ES 3.2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenGL ES 3.2
Context triple: [OpenGL ES, version, OpenGL ES 3.2]
  • A. OpenGL ES chosen
    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. 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.
  • C. EGL
    EGL is the station code used to identify Eglinton station in transit systems and related services.
  • D. EGL
    EGL is an interface between Khronos rendering APIs like OpenGL ES and the native windowing system, enabling efficient rendering and context management on a variety of platforms.
  • E. WebGL
    WebGL is a JavaScript API that enables hardware-accelerated 2D and 3D graphics rendering within web browsers without the need for plugins.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e91b0b808190bc38008bb344d180 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e509f7d404819086cf5d062edbaff5 completed April 19, 2026, 4:59 p.m.
Created at: April 8, 2026, 9:30 p.m.