Triple

T576674
Position Surface form Disambiguated ID Type / Status
Subject ARM E13771 entity
Predicate instructionSetStyle P9897 FINISHED
Object load-store architecture 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: load-store architecture | Statement: [ARM, instructionSetStyle, load-store architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: instructionSetStyle
Context triple: [ARM, instructionSetStyle, load-store architecture]
  • A. instructionSetType chosen
    Indicates the type or category of an instruction set associated with a processor or computing architecture.
  • B. operatorStyle
    Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
  • C. structureStyle
    Indicates the architectural or design style characterizing how a structure is built or formed.
  • D. symbolicStyle
    Indicates that one entity employs or is characterized by a particular symbolic or emblematic style defined by the other entity.
  • E. scriptStyle
    Indicates that one entity specifies or characterizes the stylistic form or manner of a script associated with another 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b68cc808190b1ba45bdad78443d completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c692288190b88f30299516b5ba completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.