Graphcore
E170436
Graphcore is a British semiconductor company that develops specialized intelligence processing units (IPUs) and systems designed to accelerate artificial intelligence and machine learning workloads.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Graphcore canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1499805 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graphcore Context triple: [Habana Labs, competitor, Graphcore]
-
A.
DeepMind
DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
-
B.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
C.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
D.
Einstein AI
Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
-
E.
Meta AI
Meta AI is Meta Platforms’ artificial intelligence division, responsible for developing large-scale AI models, research, and consumer-facing tools like the Meta AI assistant integrated across its apps and services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graphcore Target entity description: Graphcore is a British semiconductor company that develops specialized intelligence processing units (IPUs) and systems designed to accelerate artificial intelligence and machine learning workloads.
-
A.
DeepMind
DeepMind is a leading artificial intelligence research company renowned for breakthroughs such as AlphaGo and deep reinforcement learning, operating as a subsidiary of Google.
-
B.
OpenAI
OpenAI is an artificial intelligence research organization best known for developing advanced AI models such as ChatGPT and GPT series.
-
C.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
D.
Einstein AI
Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
-
E.
Meta AI
Meta AI is Meta Platforms’ artificial intelligence division, responsible for developing large-scale AI models, research, and consumer-facing tools like the Meta AI assistant integrated across its apps and services.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence company
ⓘ
semiconductor company ⓘ |
| abbreviation | IPU ⓘ |
| collaboration |
Microsoft Azure
ⓘ
linked to:
Azure
|
| competition |
AMD
ⓘ
linked to:
Advanced Micro Devices
Google TPU ⓘ NVIDIA ⓘ
linked to:
NVIDIA Corporation
|
| coreBusiness |
design of intelligence processing units
ⓘ
development of AI compute systems ⓘ |
| country | United Kingdom ⓘ |
| foundedBy |
Nigel Toon
ⓘ
Simon Knowles ⓘ |
| hasFeature |
fine-grained parallelism for AI workloads
ⓘ
high-bandwidth on-chip memory ⓘ software stack for machine learning frameworks ⓘ |
| headquartersLocation |
Bristol
ⓘ
England ⓘ United Kingdom ⓘ |
| inception | 2016 ⓘ |
| industry |
artificial intelligence hardware
ⓘ
machine learning accelerators ⓘ semiconductors ⓘ |
| locationFounded |
Bristol
ⓘ
United Kingdom ⓘ |
| notableInvestor |
Atomico
ⓘ
BMW i Ventures ⓘ Bosch ⓘ Dell Technologies Capital ⓘ
linked to:
Dell
Microsoft ⓘ Samsung ⓘ Sequoia Capital ⓘ |
| product |
AI accelerators
ⓘ
AI servers ⓘ AI systems for data centers ⓘ IPU-based systems ⓘ Intelligence Processing Unit ⓘ |
| purpose |
accelerate artificial intelligence workloads
ⓘ
accelerate machine learning workloads ⓘ |
| regionServed | global ⓘ |
| software | Poplar SDK ⓘ |
| targetMarket |
cloud service providers
ⓘ
data centers ⓘ enterprise AI users ⓘ |
| technologyFocus |
graph-based computation for AI
ⓘ
parallel processing architectures ⓘ |
| usedFor |
inference of machine learning models
ⓘ
training neural networks ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Graphcore Description of subject: Graphcore is a British semiconductor company that develops specialized intelligence processing units (IPUs) and systems designed to accelerate artificial intelligence and machine learning workloads.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.