Triple

T5167385
Position Surface form Disambiguated ID Type / Status
Subject Onyx visualization systems E116591 entity
Predicate architecture P4621 FINISHED
Object MIPS E37330 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: MIPS | Statement: [Onyx visualization systems, architecture, MIPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIPS
Context triple: [Onyx visualization systems, architecture, MIPS]
  • A. MIPS chosen
    MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
  • B. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • C. MMIX
    MMIX is a 64-bit RISC-style hypothetical computer architecture designed by Donald Knuth as the pedagogical machine for later volumes of *The Art of Computer Programming*.
  • D. Risc PC
    Risc PC is a modular personal computer introduced by Acorn Computers in the 1990s, known for its RISC-based architecture and expandability.
  • E. SPARC microprocessor architecture
    The SPARC microprocessor architecture is a RISC-based instruction set architecture widely used in high-performance and enterprise servers, originally created to power scalable, multi-processor systems.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794b87508190be3b82726ef4b37c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe5521dc8190b2c6f03faa436529 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:45 p.m.