Triple

T25436464
Position Surface form Disambiguated ID Type / Status
Subject CISC E637384 entity
Predicate oftenImplements P127762 FINISHED
Object instructions via microcode 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: instructions via microcode | Statement: [CISC, oftenImplements, instructions via microcode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenImplements
Context triple: [CISC, oftenImplements, instructions via microcode]
  • A. alsoImplements
    Indicates that an entity, in addition to its primary implementation, implements another interface, protocol, or specification as well.
  • B. isOftenImplementedAs chosen
    Indicates that one thing is frequently realized, instantiated, or carried out in the form of another.
  • C. usesImplement
    Indicates that one entity employs or makes use of another entity as a tool, instrument, or means to perform an action or achieve a purpose.
  • D. commonlyImplementedBy
    Indicates that the referenced item (e.g., a standard, interface, or pattern) is frequently realized or put into practice by the associated implementing entities.
  • E. implementedFor
    Indicates that one entity has been created, developed, or configured to operate on behalf of, or to fulfill the needs or requirements of, 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 21, 2026, 1:59 p.m.