Triple

T2716600
Position Surface form Disambiguated ID Type / Status
Subject GDB E59979 entity
Predicate supportsArchitecture P5090 FINISHED
Object RISC-V E37329 NE 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: RISC-V | Statement: [GDB, supportsArchitecture, RISC-V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RISC-V
Context triple: [GDB, supportsArchitecture, RISC-V]
  • A. RISC-V chosen
    RISC-V is an open, extensible instruction set architecture (ISA) based on the reduced instruction set computing (RISC) principles, widely used for research, embedded systems, and increasingly general-purpose computing.
  • B. RISC-V International
    RISC-V International is the global nonprofit consortium that oversees the development, standardization, and promotion of the open RISC-V instruction set architecture.
  • C. Spike RISC-V ISA simulator
    Spike RISC-V ISA simulator is the official reference software simulator for the RISC-V instruction set architecture, used to validate and test RISC-V implementations.
  • D. RISC architecture
    RISC architecture is a CPU design philosophy that uses a small, highly optimized set of simple instructions to achieve high performance and efficiency.
  • E. MIPS
    MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda964d4881908179b2a1b16411e4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbe621881909e153290394798d6 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.