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.