Triple
T19319735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Computational Methods in Nonlinear Mechanics |
E483188
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | work on computational mechanics |
C6488
|
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: work on computational mechanics Context triple: [Computational Methods in Nonlinear Mechanics, instanceOf, work on computational mechanics]
-
A.
work on robotics
Work on robotics encompasses the research, design, development, and application of robotic systems that sense, decide, and act to perform tasks autonomously or in collaboration with humans.
-
B.
foundational work in fluid mechanics
Foundational work in fluid mechanics establishes the core principles, governing equations, and conceptual frameworks that describe how fluids move and interact with forces and boundaries.
-
C.
treatise on mechanics
A treatise on mechanics is a systematic, often mathematically grounded work that explains the principles governing motion, forces, and the behavior of physical bodies.
-
D.
mathematical work
chosen
A mathematical work is a structured intellectual creation that develops, analyzes, or communicates mathematical concepts, results, or methods, typically through definitions, theorems, proofs, and examples.
-
E.
structural engineering laboratory
A structural engineering laboratory is a specialized facility where engineers and researchers experimentally test, analyze, and validate the behavior, strength, and performance of structural materials and systems under various loads and environmental conditions.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:32 p.m.