Triple
T18158406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plenty of Room at the Bottom |
E434692
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | foundational work in nanotechnology |
C39813
|
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: foundational work in nanotechnology Context triple: [Plenty of Room at the Bottom, instanceOf, foundational work in nanotechnology]
-
A.
foundational work in cryptography
Foundational work in cryptography encompasses the core theories, algorithms, and protocols that establish secure methods for confidentiality, integrity, authentication, and key management in digital communication systems.
-
B.
foundational work in mathematics
Foundational work in mathematics comprises the theories, principles, and formal systems that rigorously define mathematical objects and reasoning, providing a secure logical basis for all mathematical disciplines.
-
C.
nanofabrication method
A nanofabrication method is a process or technique used to create, modify, or assemble structures and devices with features at the nanometer scale.
-
D.
foundational work in fuzzy set theory
Foundational work in fuzzy set theory establishes the core principles, mathematical frameworks, and key operations that formalize reasoning with imprecise, vague, or graded concepts instead of classical binary logic.
-
E.
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.
- F. None of above. chosen
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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:30 a.m.