Triple

T29858968
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Volta architecture E758262 entity
Predicate notableGPUCore P207185 FINISHED
Object GV100
GV100 is NVIDIA’s flagship Volta-generation GPU core designed for high-performance computing and AI workloads, featuring advanced tensor processing capabilities.
 E1888161 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: GV100 | Statement: [NVIDIA Volta architecture, notableGPUCore, GV100]
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: GV100
Triple: [NVIDIA Volta architecture, notableGPUCore, GV100]
Generated description
GV100 is NVIDIA’s flagship Volta-generation GPU core designed for high-performance computing and AI workloads, featuring advanced tensor processing capabilities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableGPUCore
Context triple: [NVIDIA Volta architecture, notableGPUCore, GV100]
  • A. gpuCoreCount
    Indicates the number of processing cores present in a GPU.
  • B. tensorCoresGeneration
    Indicates the specific hardware generation or version of tensor cores associated with an entity.
  • C. performanceCores
    Indicates a relationship where certain cores within a processor are designated as high-performance cores optimized for speed and intensive tasks.
  • D. neuralEngineCores
    Indicates the number or configuration of neural engine processing cores associated with a given hardware or system.
  • E. bigCoreCount
    Indicates that an entity (such as a processor or system) has a relatively large number of cores compared to a typical or baseline configuration.
  • F. None of above. chosen

Provenance (7 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_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26f1c5525c8190bc09429eb2559537 completed June 8, 2026, 4:45 p.m.
NEDg Description generation batch_6a26f27012408190816f27fdf8917da5 completed June 8, 2026, 4:48 p.m.
NED2 Entity disambiguation (via description) batch_6a26f30f1b488190acc51b4ec3e84e71 completed June 8, 2026, 4:51 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7ee0388190a29faeb5cdb0950a completed May 12, 2026, 7:16 p.m.
Created at: April 29, 2026, 5:48 p.m.