Apple A9
E538993
The Apple A9 is a 64-bit ARM-based system-on-a-chip designed by Apple that powers devices like the iPhone 6s and 6s Plus, offering significant performance and efficiency improvements over its predecessors.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Apple A9 canonical | 5 |
| Apple A9 processor | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5497971 — 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 A9 Context triple: [Apple A-series, includesModel, Apple A9]
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A.
Apple A8
Apple A8 is a 64-bit ARM-based system-on-a-chip designed by Apple Inc. that powered devices like the iPhone 6 and iPhone 6 Plus, offering improved performance and energy efficiency over its predecessor.
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B.
Apple A10 Fusion
The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
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C.
Apple A10X Fusion
Apple A10X Fusion is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for use in iPad Pro models and Apple TV 4K, offering enhanced CPU and GPU capabilities over the A10.
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D.
Apple A11 Bionic
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.
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E.
Apple A5
The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
- 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 A9 Target entity description: The Apple A9 is a 64-bit ARM-based system-on-a-chip designed by Apple that powers devices like the iPhone 6s and 6s Plus, offering significant performance and efficiency improvements over its predecessors.
-
A.
Apple A8
Apple A8 is a 64-bit ARM-based system-on-a-chip designed by Apple Inc. that powered devices like the iPhone 6 and iPhone 6 Plus, offering improved performance and energy efficiency over its predecessor.
-
B.
Apple A10 Fusion
The Apple A10 Fusion is a 64-bit ARM-based system-on-a-chip designed by Apple, notable for introducing a quad-core CPU with a performance/efficiency core architecture used in devices like the iPhone 7 and 7 Plus.
-
C.
Apple A10X Fusion
Apple A10X Fusion is a high-performance 64-bit ARM-based system-on-a-chip designed by Apple for use in iPad Pro models and Apple TV 4K, offering enhanced CPU and GPU capabilities over the A10.
-
D.
Apple A11 Bionic
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.
-
E.
Apple A5
The Apple A5 is a dual-core system-on-a-chip designed by Apple that powered devices like the iPhone 4S and iPad 2, offering significantly improved performance and graphics over its predecessor.
- 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 A9 Description of subject: The Apple A9 is a 64-bit ARM-based system-on-a-chip designed by Apple that powers devices like the iPhone 6s and 6s Plus, offering significant performance and efficiency improvements over its predecessors.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.