Triple
T2510254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Studio Display |
E52682
|
entity |
| Predicate | builtInProcessor |
P40914
|
FINISHED |
| Object |
Apple A13 Bionic
The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
|
E276416
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Apple A13 Bionic | Statement: [Apple Studio Display, builtInProcessor, Apple A13 Bionic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple A13 Bionic Context triple: [Apple Studio Display, builtInProcessor, Apple A13 Bionic]
-
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 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.
-
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 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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apple A13 Bionic Triple: [Apple Studio Display, builtInProcessor, Apple A13 Bionic]
Generated description
The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apple A13 Bionic Target entity description: The Apple A13 Bionic is a 64-bit ARM-based system-on-a-chip designed by Apple, known for powering the iPhone 11 series and providing advanced performance and machine learning capabilities.
-
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 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.
-
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 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.
-
E.
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.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtInProcessor Context triple: [Apple Studio Display, builtInProcessor, Apple A13 Bionic]
-
A.
builtIn
Indicates that one entity is inherently included as a standard, pre-existing component or feature of another entity, rather than being added or installed separately.
-
B.
usesProcessorSeries
Indicates that one entity operates using, or is built to run on, a specific series or family of processors.
-
C.
usesProcessorBrand
Indicates that one entity employs or is built with a processor manufactured by the specified brand.
-
D.
brickProcessorType
Indicates the specific kind or category of processor associated with a given brick.
-
E.
basedOnProcess
Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5ce8ca7081908f9c2550276352d5 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5db1c290819099d88815ebe97c1b |
completed | March 9, 2026, 11:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e2cd2588190bc24c3cdd350fa70 |
completed | March 9, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.