Triple

T30315667
Position Surface form Disambiguated ID Type / Status
Subject iMac Pro (2017) E771048 entity
Predicate gpuOptions P11228 FINISHED
Object Radeon Pro Vega 56
Radeon Pro Vega 56 is a professional-grade AMD graphics card based on the Vega architecture, designed to deliver high-performance GPU computing and graphics for workstations and creative applications.
 E1908270 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: Radeon Pro Vega 56 | Statement: [iMac Pro (2017), gpuOptions, Radeon Pro Vega 56]
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: Radeon Pro Vega 56
Triple: [iMac Pro (2017), gpuOptions, Radeon Pro Vega 56]
Generated description
Radeon Pro Vega 56 is a professional-grade AMD graphics card based on the Vega architecture, designed to deliver high-performance GPU computing and graphics for workstations and creative applications.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: gpuOptions
Context triple: [iMac Pro (2017), gpuOptions, Radeon Pro Vega 56]
  • A. gpuType chosen
    Indicates the specific kind or model category of GPU associated with an entity.
  • B. usesNumberOfGPUs
    Indicates that an entity operates with, depends on, or is configured to utilize a specified number of GPUs.
  • C. gpuComputePerformance
    Indicates the level of processing capability a GPU can deliver for computational tasks, typically measured in operations per unit time.
  • D. integratesGPU
    Indicates that one entity incorporates or embeds a GPU as a functional component within its design or system.
  • E. acceleratorType
    Indicates the kind or category of accelerator associated with or used by an entity.
  • 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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68193b2b08190a00f08dbba490563 completed May 2, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276f153be481909cd93c2d7ba32a94 completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a277099ff6c8190b65d807c471dfe88 completed June 9, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2771323b1c8190822f8b57d2ad21bc completed June 9, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69f67603526c81908295a1ece8727c66 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:51 p.m.