Triple

T4279107
Position Surface form Disambiguated ID Type / Status
Subject FreeBSD E97108 entity
Predicate architectureSupport P8609 FINISHED
Object ARM64 E229087 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: [FreeBSD, architectureSupport, ARM64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM64
Context triple: [FreeBSD, architectureSupport, ARM64]
  • 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. ARM
    ARM is a family of energy-efficient RISC processor architectures widely used in mobile devices, embedded systems, and increasingly in laptops and servers.
  • D. 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.
  • E. ARM Neoverse
    ARM Neoverse is a family of 64-bit ARM-based processor platforms designed primarily for high-performance cloud, data center, and infrastructure workloads.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.