Triple

T8284044
Position Surface form Disambiguated ID Type / Status
Subject RV128I E193747 entity
Predicate generalPurposeRegisterCount P17355 FINISHED
Object intended to match other RISC-V base ISAs (32 GPRs) when fully specified 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: intended to match other RISC-V base ISAs (32 GPRs) when fully specified | Statement: [RV128I, generalPurposeRegisterCount, intended to match other RISC-V base ISAs (32 GPRs) when fully specified]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: generalPurposeRegisterCount
Context triple: [RV128I, generalPurposeRegisterCount, intended to match other RISC-V base ISAs (32 GPRs) when fully specified]
  • A. generalPurposeRegisters
    Indicates that the relationship involves general-purpose registers used to hold data or addresses during computation or instruction execution.
  • B. numberOfGeneralPurposeRegisters chosen
    Indicates the quantity of general-purpose registers associated with or available in a given computing context.
  • C. segmentRegisterCount
    Indicates the number of register units associated with or allocated to a particular segment in a system or structure.
  • D. numberOfIndexRegisters
    Indicates the quantity of index registers associated with or available to a given entity (such as a processor or instruction set).
  • E. hasNumberOfPins
    Indicates that an entity is associated with a specific count of pins it possesses or uses.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad0535081908bb234cfc0e32b32 completed March 31, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69cb70ad9fc081908741f8c4a4141edf completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:52 p.m.