Triple

T29866661

Position	Surface form	Disambiguated ID	Type / Status
Subject	glTF	`E758479`	entity
Predicate	supportsTextureExtension	`P60281`	FINISHED
Object	KHR_texture_basisu KHR_texture_basisu is a glTF extension that enables the use of Basis Universal compressed textures to reduce asset size and improve rendering performance across platforms.	`E1889391`	NE FINISHED

How this triple was built (3 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: KHR_texture_basisu | Statement: [glTF, supportsTextureExtension, KHR_texture_basisu]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: KHR_texture_basisu
Triple: [glTF, supportsTextureExtension, KHR_texture_basisu]

Generated description

KHR_texture_basisu is a glTF extension that enables the use of Basis Universal compressed textures to reduce asset size and improve rendering performance across platforms.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: supportsTextureExtension
Context triple: [glTF, supportsTextureExtension, KHR_texture_basisu]

A. usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
B. supportsExtensionsFrom chosen
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
C. supportsMultisampling
Indicates that an entity provides or enables multisampling functionality, typically for improved rendering quality.
D. supportsShadingLanguage
Indicates that one entity provides compatibility with, or can correctly interpret and execute, a specified shading language used for programmable graphics rendering.
E. supportsRasterFormat
Indicates that one entity is capable of handling, processing, or outputting data in a specified raster image format.
F. None of above.

Provenance (6 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_69f2245b4dec8190b85f664d918a00a5`	completed	April 29, 2026, 3:31 p.m.
NER	Named-entity recognition	`batch_6a037c876524819098545e6037d3107d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a26f1cd9514819092bd582c4de97741`	completed	June 8, 2026, 4:46 p.m.
NEDg	Description generation	`batch_6a26f2b6ed148190bdfa9ce79ce2c87e`	completed	June 8, 2026, 4:49 p.m.
NED2	Entity disambiguation (via description)	`batch_6a26f3e3934c8190affd23330fab3e3e`	completed	June 8, 2026, 4:54 p.m.
PD	Predicate disambiguation	`batch_6a0379e0f3d88190a4ee7b0673f1ef90`	completed	May 12, 2026, 7:05 p.m.

Created at: April 29, 2026, 5:51 p.m.