Everest
E270321
Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Everest canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2464662 — 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: Everest Context triple: [Apple A16 Bionic, cpuBigCoreName, Everest]
-
A.
Mount Everest
Mount Everest is the world's highest mountain above sea level, located in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
-
B.
Cho Oyu
Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
-
C.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
-
D.
George Everest
George Everest was a 19th-century British surveyor and geographer who served as Surveyor General of India and lent his name to Mount Everest.
-
E.
Makalu
Makalu is the fifth-highest mountain in the world, a prominent 8,485-meter peak on the border between Nepal and China known for its steep faces and challenging climbing routes.
- 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: Everest Target entity description: Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
-
A.
Mount Everest
Mount Everest is the world's highest mountain above sea level, located in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
-
B.
Cho Oyu
Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
-
C.
Kangchenjunga
Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
-
D.
George Everest
George Everest was a 19th-century British surveyor and geographer who served as Surveyor General of India and lent his name to Mount Everest.
-
E.
Makalu
Makalu is the fifth-highest mountain in the world, a prominent 8,485-meter peak on the border between Nepal and China known for its steep faces and challenging climbing routes.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
Apple CPU core design
ⓘ
CPU core microarchitecture ⓘ |
| announcementDate | 2022-09-07 ⓘ |
| codenameFor | high-performance CPU cores in Apple A16 Bionic ⓘ |
| coreCountInA16 | 2 ⓘ |
| coreType | high-performance core ⓘ |
| designedBy | Apple Inc. ⓘ |
| fabricationTechnology |
TSMC N4
ⓘ
linked to:
TSMC 4N
|
| foundInDevice |
iPhone 14 Pro
ⓘ
iPhone 14 Pro Max ⓘ |
| generation | Apple high-performance core generation 2022 ⓘ |
| introducedInChipGeneration |
A16 Bionic
ⓘ
linked to:
Apple A16 Bionic
|
| introducedWith |
iPhone 14
ⓘ
iPhone 14 Plus ⓘ
linked to:
iPhone 14
|
| ISA |
ARMv8.6-A
ⓘ
linked to:
ARMv8-A
|
| marketSegment | smartphone SoCs ⓘ |
| microarchitectureFamily |
Apple high-performance core family
ⓘ
linked to:
Apple Silicon performance cores
|
| optimizationGoal | performance per watt ⓘ |
| pairedCoreType | high-efficiency core ⓘ |
| pairedWith | Sawtooth ⓘ |
| predecessor | Avalanche ⓘ |
| processNode | 4 nm-class ⓘ |
| successor | unknown ⓘ |
| supportsFeature |
64-bit execution
ⓘ
advanced branch prediction ⓘ large private caches ⓘ out-of-order execution ⓘ speculative execution ⓘ |
| targetWorkloads |
high-performance mobile computing
ⓘ
single-threaded performance ⓘ |
| usedIn | Apple A16 Bionic ⓘ |
| usedInProductLine | iPhone ⓘ |
| vendor |
Apple Silicon
ⓘ
linked to:
Apple silicon
|
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: Everest Description of subject: Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.