Triple

T1775215
Position Surface form Disambiguated ID Type / Status
Subject Apple Neural Engine E38961 entity
Predicate introducedWithChip P20530 FINISHED
Object 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.
E198711 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 A11 Bionic | Statement: [Apple Neural Engine, introducedWithChip, Apple A11 Bionic]
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]
  • 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
  • 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 A11 Bionic
Triple: [Apple Neural Engine, introducedWithChip, Apple A11 Bionic]
Generated 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.
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
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedWithChip
Context triple: [Apple Neural Engine, introducedWithChip, Apple A11 Bionic]
  • A. introducedAfter
    Indicates that one entity was introduced at a later time or stage than another entity.
  • B. introducedInProduct
    Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
  • C. introducedFor
    Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
  • D. wirelessSupportIntroduced
    Indicates that support for wireless functionality was added or became available for the first time.
  • E. chipset chosen
    Indicates that one entity is the chipset (or is associated with the chipset) used by, contained in, or otherwise functionally related to another entity.
  • F. None of above.

Provenance (6 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab17e368048190b7b73d156400f772 completed March 6, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada9982d208190b0c29ee1141e91b0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab03a5448190b42966adcd8afbde completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeabff6c8190b19bc6478a28641c completed March 8, 2026, 5:15 p.m.
PD Predicate disambiguation batch_69aa61cd4c1c8190a8dff391f5642bfe completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.