Triple
T25726583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIESTA |
E645127
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ab initio simulation package |
C42602
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: ab initio simulation package Context triple: [SIESTA, instanceOf, ab initio simulation package]
-
A.
molecular modelling software
chosen
Molecular modelling software is a computational tool that simulates and visualizes the structure, properties, and interactions of molecules to support tasks such as drug design, materials development, and molecular analysis.
-
B.
materials informatics software
Materials informatics software is a computational platform that integrates materials data, machine learning, and simulation tools to accelerate the discovery, design, and optimization of materials and their properties.
-
C.
EDL simulation framework
A EDL simulation framework is a software environment that models and analyzes the dynamics, control, and performance of spacecraft during the Entry, Descent, and Landing phase.
-
D.
molecular quantum mechanics method
A molecular quantum mechanics method is a theoretical and computational approach that applies quantum mechanical principles to describe and predict the electronic structure, properties, and behavior of molecules.
-
E.
computational analysis toolset
A computational analysis toolset is an integrated collection of software tools, libraries, and frameworks designed to process, analyze, and interpret data through algorithmic and statistical methods.
- F. None of above.
Provenance (1 batch)
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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
Created at: April 21, 2026, 11:05 p.m.