Triple

T1693257
Position Surface form Disambiguated ID Type / Status
Subject Windows 8.1 E36596 entity
Predicate platform P1292 FINISHED
Object ARM 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: ARM | Statement: [Windows 8.1, platform, ARM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM
Context triple: [Windows 8.1, platform, ARM]
  • 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. ARM Copper
    ARM Copper is the copper-focused mining division of South African diversified mining company African Rainbow Minerals.
  • C. Acorn RISC Machine
    Acorn RISC Machine (ARM) is a family of energy-efficient reduced instruction set computer (RISC) architectures widely used in mobile devices, embedded systems, and increasingly in servers and personal computers.
  • D. AltiVec
    AltiVec is a vector processing extension for the PowerPC architecture that accelerates multimedia, signal processing, and other parallelizable computations.
  • E. AMD processors
    AMD processors are a family of CPUs and APUs from Advanced Micro Devices known for offering strong multi-core performance and competitive pricing across desktops, laptops, and mobile devices.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b228988190a7d19003ddf10ce5 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7996a39481909152a6a799659c93 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.