Triple

T8413913
Position Surface form Disambiguated ID Type / Status
Subject pSOS E198686 entity
Predicate supportsArchitecture P5090 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: [pSOS, supportsArchitecture, MIPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIPS
Context triple: [pSOS, supportsArchitecture, 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. MIPS II
    MIPS II is the second-generation version of the MIPS instruction set architecture, extending the original design with additional instructions and features for improved performance and functionality.
  • C. MIPS III
    MIPS III is a 64-bit RISC instruction set architecture in the MIPS family, extending earlier versions with larger address space and enhanced computational capabilities.
  • D. MIPS IV
    MIPS IV is a 64-bit RISC instruction set architecture in the MIPS family, designed to enhance performance and support advanced computing features over its predecessors.
  • E. MIPS R5000
    The MIPS R5000 is a 64-bit RISC microprocessor from the MIPS family, widely used in mid-1990s workstations and embedded systems for its balance of performance and cost.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e328cc8190b3b038005d0bb66f completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4db075c881909083b3384fcde344 completed April 2, 2026, 11:06 a.m.
Created at: March 30, 2026, 6:06 p.m.