Triple

T7388296
Position Surface form Disambiguated ID Type / Status
Subject Graphcore E170436 entity
Predicate competition P563 FINISHED
Object Google TPU
Google TPU is a custom-designed application-specific integrated circuit (ASIC) developed by Google to accelerate machine learning workloads, particularly deep learning inference and training in its data centers.
 E660962 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: Google TPU | Statement: [Graphcore, competition, Google TPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Google TPU
Context triple: [Graphcore, competition, Google TPU]
  • A. Google Tensor
    Google Tensor is Google's custom-designed system-on-a-chip (SoC) platform created to power Pixel devices with advanced AI and machine learning capabilities.
  • B. Google Cloud TPU V2
    Google Cloud TPU V2 is a second-generation tensor processing unit offered as a cloud service by Google, designed to accelerate large-scale machine learning workloads such as deep neural network training and inference.
  • C. Google Cloud TPU V3
    Google Cloud TPU v3 is a high-performance, third-generation tensor processing unit offered on Google Cloud for accelerating large-scale machine learning and deep learning workloads.
  • D. Google Cloud TPU V4
    Google Cloud TPU v4 is a high-performance, fourth-generation tensor processing unit accelerator offered on Google Cloud, optimized for large-scale machine learning and deep learning workloads.
  • E. Graphcore
    Graphcore is a British semiconductor company that develops specialized intelligence processing units (IPUs) and systems designed to accelerate artificial intelligence and machine learning workloads.
  • 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: Google TPU
Triple: [Graphcore, competition, Google TPU]
Generated description
Google TPU is a custom-designed application-specific integrated circuit (ASIC) developed by Google to accelerate machine learning workloads, particularly deep learning inference and training in its data centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Google TPU
Target entity description: Google TPU is a custom-designed application-specific integrated circuit (ASIC) developed by Google to accelerate machine learning workloads, particularly deep learning inference and training in its data centers.
  • A. Google Tensor
    Google Tensor is Google's custom-designed system-on-a-chip (SoC) platform created to power Pixel devices with advanced AI and machine learning capabilities.
  • B. Google Cloud TPU V2
    Google Cloud TPU V2 is a second-generation tensor processing unit offered as a cloud service by Google, designed to accelerate large-scale machine learning workloads such as deep neural network training and inference.
  • C. Google Cloud TPU V3
    Google Cloud TPU v3 is a high-performance, third-generation tensor processing unit offered on Google Cloud for accelerating large-scale machine learning and deep learning workloads.
  • D. Google Cloud TPU V4
    Google Cloud TPU v4 is a high-performance, fourth-generation tensor processing unit accelerator offered on Google Cloud, optimized for large-scale machine learning and deep learning workloads.
  • E. Graphcore
    Graphcore is a British semiconductor company that develops specialized intelligence processing units (IPUs) and systems designed to accelerate artificial intelligence and machine learning workloads.
  • 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_69c68a5e2c9081909e713ce866e0060a completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f3f5f48190aabe69ba79cbcb93 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e56fb48190976612d2a94d6ee5 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c803707cec8190bb474c959ef93d48 completed March 28, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69c803ed9ec4819090a9481954060769 completed March 28, 2026, 4:38 p.m.
Created at: March 27, 2026, 3:09 p.m.