A13 Bionic
E941452
A13 Bionic is Apple's 64‑bit ARM-based system-on-a-chip introduced in 2019, powering devices like the iPhone 11 series with improved performance and energy efficiency.
All labels observed (5)
| Label | Occurrences |
|---|---|
| 3rd-generation Apple Neural Engine | 1 |
| A13 Bionic canonical | 1 |
| A13 Bionic chip | 1 |
| A13 Bionic or later for first implementation | 1 |
| improved performance over A12 Bionic | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11631862 — 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: A13 Bionic Context triple: [Apple A13 Bionic, marketedAs, A13 Bionic]
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A.
A11 Bionic
A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
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B.
Apple A12X Bionic
Apple A12X Bionic is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for its iPad Pro lineup, featuring powerful CPU and GPU capabilities optimized for demanding mobile computing and graphics tasks.
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C.
Apple A16 Bionic
Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
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D.
Apple A12Z Bionic
Apple A12Z Bionic is an ARM-based system-on-a-chip designed by Apple, notable for powering the 2020 iPad Pro with enhanced CPU and GPU performance for demanding mobile and creative workloads.
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E.
Apple A15 Bionic
Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
- 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: A13 Bionic Target entity description: A13 Bionic is Apple's 64‑bit ARM-based system-on-a-chip introduced in 2019, powering devices like the iPhone 11 series with improved performance and energy efficiency.
-
A.
A11 Bionic
A11 Bionic is Apple's custom 64-bit ARM-based system-on-a-chip introduced with the iPhone 8 and iPhone X, featuring a neural engine for machine learning tasks and significant performance and efficiency improvements over its predecessors.
-
B.
Apple A12X Bionic
Apple A12X Bionic is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for its iPad Pro lineup, featuring powerful CPU and GPU capabilities optimized for demanding mobile computing and graphics tasks.
-
C.
Apple A16 Bionic
Apple A16 Bionic is a high-performance, energy-efficient system-on-a-chip used in recent iPhone models, featuring advanced CPU, GPU, and neural engine capabilities for demanding mobile tasks.
-
D.
Apple A12Z Bionic
Apple A12Z Bionic is an ARM-based system-on-a-chip designed by Apple, notable for powering the 2020 iPad Pro with enhanced CPU and GPU performance for demanding mobile and creative workloads.
-
E.
Apple A15 Bionic
Apple A15 Bionic is a high-performance, energy-efficient system-on-a-chip used in various Apple devices, featuring advanced CPU, GPU, and neural engine components for enhanced processing and machine learning tasks.
- F. None of above. chosen
Statements (47)
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: A13 Bionic Description of subject: A13 Bionic is Apple's 64‑bit ARM-based system-on-a-chip introduced in 2019, powering devices like the iPhone 11 series with improved performance and energy efficiency.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: A13 Bionic
linked to: A13 Bionic
linked to: A13 Bionic
linked to: A13 Bionic