Triple

T30026688
Position Surface form Disambiguated ID Type / Status
Subject NVIDIA Pascal architecture E762898 entity
Predicate flagshipDatacenterGPU P169704 FINISHED
Object NVIDIA Tesla P40
The NVIDIA Tesla P40 is a high-performance data center GPU based on the Pascal architecture, designed primarily for deep learning inference and high-throughput compute workloads.
 E1897514 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: NVIDIA Tesla P40 | Statement: [NVIDIA Pascal architecture, flagshipDatacenterGPU, NVIDIA Tesla P40]
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: NVIDIA Tesla P40
Triple: [NVIDIA Pascal architecture, flagshipDatacenterGPU, NVIDIA Tesla P40]
Generated description
The NVIDIA Tesla P40 is a high-performance data center GPU based on the Pascal architecture, designed primarily for deep learning inference and high-throughput compute workloads.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: flagshipDatacenterGPU
Context triple: [NVIDIA Pascal architecture, flagshipDatacenterGPU, NVIDIA Tesla P40]
  • A. flagshipConsumerGPU
    Indicates that the GPU is the top-tier, highest-performing consumer graphics card in a product lineup or generation.
  • B. dataCenterLocation
    Indicates the geographical or physical location where a data center is situated or hosted.
  • C. supportsDataCenterAbstraction
    Indicates that one entity provides or enables an abstraction layer for representing or managing data center resources or functionality.
  • D. suppliedGPUFor
    Indicates that one entity provided or furnished a GPU to another entity for its use or operation.
  • E. typicalGPUVendor
    Indicates that an entity is the standard or commonly used GPU vendor associated with another entity.
  • 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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f68048391c8190abe6580678f8a9ef completed May 2, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a273231a4d48190ada158d1f54bbaf1 completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a27369f226081909c756c1db665159a completed June 8, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a2736f83b08819084c8fadd1fe1b6f2 completed June 8, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69f67e40af9881908de3a4aa15f70a83 completed May 2, 2026, 10:44 p.m.
PDg Predicate description generation batch_69f67f7e116c819099aec724e9ef3763 completed May 2, 2026, 10:49 p.m.
Created at: April 29, 2026, 6:48 p.m.