Triple

T26105184
Position Surface form Disambiguated ID Type / Status
Subject SSE4.2 E658517 entity
Predicate includesInstructionType P9897 FINISHED
Object string processing instructions 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: string processing instructions | Statement: [SSE4.2, includesInstructionType, string processing instructions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesInstructionType
Context triple: [SSE4.2, includesInstructionType, string processing instructions]
  • A. includesInstruction
    Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
  • B. supportsInstruction
    Indicates that one entity provides assistance, resources, or functionality that enables or facilitates the instruction or teaching activities of another entity.
  • C. instructionSetType chosen
    Indicates the type or category of an instruction set associated with a processor or computing architecture.
  • D. courseIncludes
    Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
  • E. includesFeatureTypes
    Indicates that an entity contains or encompasses specific types of features as part of its composition or definition.
  • 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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69fb6fdc7eb081908ab8475efb38c430 completed May 6, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69fb5a986e588190b7a10892bd2ff44c completed May 6, 2026, 3:13 p.m.
Created at: April 26, 2026, 7:58 p.m.