Triple

T425461
Position Surface form Disambiguated ID Type / Status
Subject Apple M2 E8197 entity
Predicate architecture P4621 FINISHED
Object ARM64 E13771 NE FINISHED

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: ARM64 | Statement: [Apple M2, architecture, ARM64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM64
Context triple: [Apple M2, architecture, ARM64]
  • A. ARM chosen
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • B. RISC-V
    RISC-V is an open, extensible instruction set architecture (ISA) based on the reduced instruction set computing (RISC) principles, widely used for research, embedded systems, and increasingly general-purpose computing.
  • C. AltiVec
    AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
  • D. Apple M1
    Apple M1 is Apple’s first in-house ARM-based system-on-a-chip for Macs, known for its high performance and power efficiency compared to previous Intel-based processors.
  • E. Apple M1 Max
    Apple M1 Max is a high-performance Apple Silicon system-on-a-chip designed for professional Mac laptops and desktops, featuring significantly expanded CPU, GPU, and memory capabilities over earlier M1 variants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a17403081909bcbbc0fdfdc25dc completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.