Apple A11 Bionic
E198711
Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Apple A11 Bionic canonical | 13 |
| Apple A11 Bionic processor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1775215 — 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: Apple A11 Bionic Context triple: [Apple Neural Engine, introducedWithChip, Apple A11 Bionic]
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A.
Apple A14 Bionic
Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
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B.
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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C.
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.
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D.
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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E.
Apple A17 Pro
Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
- 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: Apple A11 Bionic Target entity description: Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
-
A.
Apple A14 Bionic
Apple A14 Bionic is a 5-nanometer ARM-based system-on-a-chip designed by Apple for high-performance, energy-efficient use in iPhones and iPads.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Apple A17 Pro
Apple A17 Pro is a high-performance 3 nm mobile system-on-a-chip designed by Apple for advanced iPhone models, featuring improved CPU, GPU, and AI processing capabilities.
- F. None of above. chosen
Statements (49)
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: Apple A11 Bionic Description of subject: Apple A11 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple for iPhones, notable for significantly boosting performance and efficiency while enabling advanced machine learning and augmented reality features.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.