Triple
T25726245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABINIT |
E645121
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | materials science software |
C42603
|
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: materials science software Context triple: [ABINIT, instanceOf, materials science software]
-
A.
materials informatics software
chosen
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.
-
B.
materials science text
A materials science text is a written work that systematically explains the structure, properties, processing, and performance of materials to support understanding, research, and engineering applications.
-
C.
materials science institute
A materials science institute is a research and educational organization dedicated to studying, developing, and applying materials and their properties to advance technology and industry.
-
D.
materials science concept
A materials science concept is a fundamental idea or principle that explains how the composition, structure, processing, and properties of materials are interrelated and influence their performance in applications.
-
E.
materials science department
A materials science department is an academic and research unit focused on understanding, designing, and improving materials by studying the relationships between their structure, properties, processing, and performance.
- 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, 11:04 p.m.