Triple

T1166175
Position Surface form Disambiguated ID Type / Status
Subject JavaScriptCore E24803 entity
Predicate targetArchitecture P8609 FINISHED
Object ARM LITERAL 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: [JavaScriptCore, targetArchitecture, ARM]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetArchitecture
Context triple: [JavaScriptCore, targetArchitecture, ARM]
  • A. cpuArchitecture chosen
    Indicates the type of processor instruction set or hardware architecture that a computing system or component is designed to run on.
  • B. graphicsArchitecture
    Indicates the underlying design or structural framework that defines how a system’s graphics or visual rendering components are organized and operate.
  • C. runsOnHardware
    Indicates that a system, software, or process operates using or is executed on a specified hardware platform.
  • D. cpuCoreMicroarchitecture
    Indicates the specific microarchitecture design implemented in a given CPU core.
  • E. neuralEngineType
    Indicates the specific kind or category of neural processing engine associated with or used by an entity.
  • F. None of above.

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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccc62a88190882d8801908015a4 completed March 1, 2026, 10:25 p.m.
PD Predicate disambiguation batch_69a4bb548c1481909092626c572d8782 completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.