Triple

T14423628
Position Surface form Disambiguated ID Type / Status
Subject WebGPU E357641 entity
Predicate uses P98 FINISHED
Object WGSL
WGSL (WebGPU Shading Language) is a modern, platform-independent shading language designed specifically for the WebGPU API to write GPU-accelerated graphics and compute shaders on the web.
 E1099209 NE FINISHED

How this triple was built (4 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: WGSL | Statement: [WebGPU, uses, WGSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WGSL
Context triple: [WebGPU, uses, WGSL]
  • A. WGN
    WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
  • B. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • C. WGNQ-CD
    WGNQ-CD is a low-power Class A television station in the Chicago market that operates as a sister outlet to major ABC affiliate WLS-TV.
  • D. WAGA-TV
    WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
  • E. WNSL
    WNSL is the company responsible for owning and operating Wembley Stadium in London, one of the most famous football and events venues in the world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: WGSL
Triple: [WebGPU, uses, WGSL]
Generated description
WGSL (WebGPU Shading Language) is a modern, platform-independent shading language designed specifically for the WebGPU API to write GPU-accelerated graphics and compute shaders on the web.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WGSL
Target entity description: WGSL (WebGPU Shading Language) is a modern, platform-independent shading language designed specifically for the WebGPU API to write GPU-accelerated graphics and compute shaders on the web.
  • A. WGN
    WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
  • B. WGN-TV
    WGN-TV is a Chicago-based television station and former national superstation known for its local news, sports broadcasts, and syndicated programming.
  • C. WGNQ-CD
    WGNQ-CD is a low-power Class A television station in the Chicago market that operates as a sister outlet to major ABC affiliate WLS-TV.
  • D. WAGA-TV
    WAGA-TV is a Fox-affiliated television station serving the Atlanta, Georgia market.
  • E. WNSL
    WNSL is the company responsible for owning and operating Wembley Stadium in London, one of the most famous football and events venues in the world.
  • F. None of above. chosen

Provenance (5 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d585cc08190908bc5f9b8abdb82 completed May 8, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd5e0bbd6c8190b14039b3335692c7 completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.