Triple

T22143045
Position Surface form Disambiguated ID Type / Status
Subject Apple A4 E547213 entity
Predicate microarchitecture P11226 FINISHED
Object ARM Cortex-A8 — NE NERFINISHED

How this triple was built (3 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: ARM Cortex-A8 | Statement: [Apple A4, microarchitecture, ARM Cortex-A8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARM Cortex-A8
Context triple: [Apple A4, microarchitecture, ARM Cortex-A8]
  • A. ARM Cortex-A
    ARM Cortex-A is a family of 32-bit and 64-bit application processor cores from Arm designed for high-performance, feature-rich devices such as smartphones, tablets, and embedded systems.
  • B. ARMv7-A architecture
    ARMv7-A architecture is a 32-bit ARM processor architecture widely used in smartphones, tablets, and embedded systems, featuring advanced performance, virtualization, and security capabilities.
  • C. ARMv8-A
    ARMv8-A is a 64-bit ARM processor architecture generation that introduces the AArch64 execution state and underpins many modern mobile and desktop CPUs.
  • D. ARM10 processor family
    The ARM10 processor family is a series of 32-bit RISC microprocessor cores from ARM designed for embedded and mobile applications, offering improved performance and efficiency over earlier ARM generations.
  • E. ARM9
    ARM9 is a family of 32-bit RISC microprocessor cores from ARM designed for embedded systems, known for their balance of performance, power efficiency, and widespread use in consumer and industrial devices.
  • 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: ARM Cortex-A8
Target entity description: The ARM Cortex-A8 is a 32-bit ARM processor core widely used in early smartphones and tablets, known for introducing advanced features like superscalar execution and NEON SIMD to mobile devices.
  • A. ARM Cortex-A chosen
    ARM Cortex-A is a family of 32-bit and 64-bit application processor cores from Arm designed for high-performance, feature-rich devices such as smartphones, tablets, and embedded systems.
  • B. ARMv7-A architecture
    ARMv7-A architecture is a 32-bit ARM processor architecture widely used in smartphones, tablets, and embedded systems, featuring advanced performance, virtualization, and security capabilities.
  • C. ARMv8-A
    ARMv8-A is a 64-bit ARM processor architecture generation that introduces the AArch64 execution state and underpins many modern mobile and desktop CPUs.
  • D. ARM10 processor family
    The ARM10 processor family is a series of 32-bit RISC microprocessor cores from ARM designed for embedded and mobile applications, offering improved performance and efficiency over earlier ARM generations.
  • E. ARM9
    ARM9 is a family of 32-bit RISC microprocessor cores from ARM designed for embedded systems, known for their balance of performance, power efficiency, and widespread use in consumer and industrial devices.
  • F. None of above.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bf78108190b50d937917258693 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.