Triple

T17520712
Position Surface form Disambiguated ID Type / Status
Subject LIBSVM E426672 entity
Predicate hasInterface P12981 FINISHED
Object MATLAB NE NERFINISHED

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: MATLAB | Statement: [LIBSVM, hasInterface, MATLAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MATLAB
Context triple: [LIBSVM, hasInterface, MATLAB]
  • A. MATLAB chosen
    MATLAB is a high-level programming language and interactive environment widely used for numerical computing, data analysis, algorithm development, and visualization, particularly in engineering and scientific research.
  • B. Octave
    Octave is a masculine given name of French origin, historically borne by several notable figures in literature, music, and the arts.
  • C. Statistics and Machine Learning Toolbox
    Statistics and Machine Learning Toolbox is a MATLAB add-on that provides functions and apps for statistical analysis, predictive modeling, and machine learning.
  • D. Simulink
    Simulink is a graphical modeling and simulation environment for designing, simulating, and analyzing dynamic systems, commonly used within MATLAB for control, signal processing, and embedded system development.
  • E. GNU Octave
    GNU Octave is a high-level, open-source programming language and numerical computing environment largely compatible with MATLAB, used for solving linear and nonlinear problems and performing other numerical experiments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.