Triple
T2629297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortran |
E59594
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | MATLAB |
E95188
|
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: MATLAB | Statement: [Fortran, influenced, MATLAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MATLAB Context triple: [Fortran, influenced, 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.
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.
-
C.
LabVIEW
LabVIEW is a graphical programming environment developed by National Instruments, widely used for data acquisition, instrument control, and industrial automation.
-
D.
MATE
MATE is a lightweight, traditional-style desktop environment for Unix-like operating systems, derived from GNOME 2 and focused on simplicity and low resource usage.
-
E.
SciPy
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c452508190b02e1630d725497a |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a44a348190b8b49b37418dd94b |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.