Triple

T29866674

Position	Surface form	Disambiguated ID	Type / Status
Subject	glTF	`E758479`	entity
Predicate	supportsSceneExtension	`P60281`	FINISHED
Object	KHR_mesh_quantization KHR_mesh_quantization is a glTF extension that allows more compact storage of mesh vertex data by using reduced-precision integer formats to minimize file size and improve transmission efficiency.	`E1889403`	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_mesh_quantization | Statement: [glTF, supportsSceneExtension, KHR_mesh_quantization]

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_mesh_quantization
Triple: [glTF, supportsSceneExtension, KHR_mesh_quantization]

Generated description

KHR_mesh_quantization is a glTF extension that allows more compact storage of mesh vertex data by using reduced-precision integer formats to minimize file size and improve transmission efficiency.

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

Target predicate: supportsSceneExtension
Context triple: [glTF, supportsSceneExtension, KHR_mesh_quantization]

A. supportsScene
Indicates that one entity provides the necessary structure, resources, or compatibility for a particular scene or scenario to function or be presented.
B. supportsSceneEditing
Indicates that an entity provides the capability to modify, arrange, or otherwise edit a scene within a given environment or application.
C. supportsExtensionsFrom chosen
Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
D. supportsExtensionModel
Indicates that one entity provides compatibility or functionality for using a specified extension model associated with another entity.
E. supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
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.