Triple

T22308711
Position Surface form Disambiguated ID Type / Status
Subject Apple A7 E551454 entity
Predicate supports P516 FINISHED
Object ARMv7-A AArch32 NE NERFINISHED

How this triple was built (2 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: ARMv7-A AArch32 | Statement: [Apple A7, supports, ARMv7-A AArch32]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARMv7-A AArch32
Context triple: [Apple A7, supports, ARMv7-A AArch32]
  • A. ARMv7-A architecture chosen
    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.
  • B. ARMv6 architecture family
    The ARMv6 architecture family is a generation of 32-bit ARM processor designs that introduced significant enhancements in performance, multimedia processing, and security features for mobile and embedded devices.
  • 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. ARMv3
    ARMv3 is an early 32-bit RISC processor architecture from ARM, notable for powering systems like the Acorn Archimedes and early ARM-based computers.
  • E. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.