Triple
T32043727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MESA stellar evolution code |
E818282
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computational astrophysics software |
C35892
|
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: computational astrophysics software Context triple: [MESA stellar evolution code, instanceOf, computational astrophysics software]
-
A.
high-energy astrophysics software
High-energy astrophysics software comprises specialized tools and frameworks for processing, analyzing, and modeling data from high-energy phenomena such as X-ray and gamma-ray sources in the universe.
-
B.
computational astrophysics laboratory
A computational astrophysics laboratory is a research environment that uses advanced numerical simulations, high-performance computing, and data analysis to model and study astrophysical phenomena such as star formation, galaxy evolution, and cosmological structure.
-
C.
astronomical data analysis software
Astronomical data analysis software is a specialized toolset that ingests, processes, and interprets observational data from telescopes and space missions to extract, visualize, and quantify astrophysical information.
-
D.
astronomy software
chosen
Astronomy software is a class of applications designed to simulate, analyze, and visualize celestial objects and phenomena for research, education, and observation planning.
-
E.
X-ray astronomy software
X-ray astronomy software is specialized computational tools and pipelines used to process, analyze, and visualize X-ray data from space- and ground-based observatories to study high-energy astrophysical phenomena.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:19 a.m.