Triple

T19403015
Position Surface form Disambiguated ID Type / Status
Subject Fugaku E485375 entity
Predicate instructionSet P9897 FINISHED
Object ARMv8-A 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: ARMv8-A | Statement: [Fugaku, instructionSet, ARMv8-A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARMv8-A
Context triple: [Fugaku, instructionSet, ARMv8-A]
  • A. ARMv8-A chosen
    ARMv8-A is a 64-bit ARM processor architecture generation that introduces the AArch64 execution state and underpins many modern mobile and desktop CPUs.
  • B. ARMv9-A
    ARMv9-A is a modern 64-bit ARM architecture generation that introduces enhanced performance, security, and AI-focused features for advanced processors used in devices like Apple’s M-series chips.
  • C. ARMv8.2-M
    ARMv8.2-M is a 32-bit ARM microcontroller architecture revision that enhances the ARMv8-M family with improved performance, security, and DSP/ML capabilities for embedded and IoT applications.
  • D. ARMv8.1-M
    ARMv8.1-M is an ARM microcontroller architecture revision that enhances the ARMv8-M baseline with improved performance, security, and DSP capabilities for embedded and IoT applications.
  • E. 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.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62577f808819099e74feab82b34a4 completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.