Triple
T4425102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MATLAB |
E95188
|
entity |
| Predicate | hasInfluenced |
P9
|
FINISHED |
| Object | Scilab |
E61970
|
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: Scilab | Statement: [MATLAB, hasInfluenced, Scilab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scilab Context triple: [MATLAB, hasInfluenced, Scilab]
-
A.
MATLAB
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
chosen
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.
Maxima
Maxima is the first daughter of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
-
D.
CAS (Computer Algebra System)
CAS (Computer Algebra System) is software that performs symbolic mathematical computations—such as algebraic manipulation, equation solving, and calculus operations—exactly rather than numerically.
-
E.
GSL
GSL is the vehicle registration code assigned to cars registered in a specific district of Poland’s Pomeranian Voivodeship.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554e40ec8190982acc0948da2f42 |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f633a69c8190b062c2a78b0f8319 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.