Triple

T7664698
Position Surface form Disambiguated ID Type / Status
Subject MIX E173596 entity
Predicate programmingLanguage P1592 FINISHED
Object MIXAL E679857 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: MIXAL | Statement: [MIX, programmingLanguage, MIXAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIXAL
Context triple: [MIX, programmingLanguage, MIXAL]
  • A. MIXAL chosen
    MIXAL is the assembly language designed by Donald Knuth for programming the hypothetical MIX computer used in his book "The Art of Computer Programming."
  • B. 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*.
  • C. MIPS
    MIPS is a RISC (Reduced Instruction Set Computer) processor architecture widely used in embedded systems, networking equipment, and academic settings.
  • D. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • E. Algol W
    Algol W is a block-structured, high-level programming language designed by Niklaus Wirth as a successor to ALGOL 60, incorporating features that influenced the later development of Pascal and other languages.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701bfb67c81908b416802eaf0faac completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2206664819085c6825e63eadd6f completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4 p.m.