Triple

T29866659
Position Surface form Disambiguated ID Type / Status
Subject glTF E758479 entity
Predicate supportsCompressionExtension P60281 FINISHED
Object KHR_draco_mesh_compression
KHR_draco_mesh_compression is a glTF extension that enables efficient geometry compression of 3D meshes using Google’s Draco technology to reduce file size and improve transmission performance.
 E1889390 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_draco_mesh_compression | Statement: [glTF, supportsCompressionExtension, KHR_draco_mesh_compression]
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_draco_mesh_compression
Triple: [glTF, supportsCompressionExtension, KHR_draco_mesh_compression]
Generated description
KHR_draco_mesh_compression is a glTF extension that enables efficient geometry compression of 3D meshes using Google’s Draco technology to reduce file size and improve transmission performance.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: supportsCompressionExtension
Context triple: [glTF, supportsCompressionExtension, KHR_draco_mesh_compression]
  • A. supportsCompressedFiles
    Indicates that one entity is capable of handling, reading, or working with files that are stored in a compressed format.
  • B. supportsExtensionsFrom chosen
    Indicates that one entity is capable of recognizing, loading, or interoperating with extensions originating from another entity.
  • C. hasCompressor
    Indicates that one entity is equipped with, contains, or uses a compressor associated with it.
  • D. compressionType
    Indicates the method or format used to compress data or content in the relationship.
  • E. supportsJPEG
    Indicates that one entity is capable of handling, displaying, or processing JPEG image files for another entity or in a given context.
  • 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.