Triple

T9740056
Position Surface form Disambiguated ID Type / Status
Subject RSL E236163 entity
Predicate relatedTo P37 FINISHED
Object GLSL E357640 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: GLSL | Statement: [RSL, relatedTo, GLSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLSL
Context triple: [RSL, relatedTo, GLSL]
  • A. GLSL chosen
    GLSL (OpenGL Shading Language) is a C-like programming language used to write programmable shaders for graphics pipelines in OpenGL and WebGL.
  • B. HLSL
    HLSL (High-Level Shading Language) is Microsoft's C-like programming language used to write shaders for real-time graphics on GPUs, primarily in the DirectX ecosystem.
  • C. Metal Shading Language
    Metal Shading Language is Apple’s C++-like GPU programming language used to write high-performance graphics and compute shaders for the Metal framework on iOS, macOS, and related platforms.
  • D. 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.
  • E. Cg
    Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f29a5bc8190b2b391017405c71e completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afe974608190874e2aba2189de80 completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:22 p.m.