Triple
T21922849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | scanning tunneling microscope |
E541363
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | surface analysis technique |
C19948
|
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: surface analysis technique Context triple: [scanning tunneling microscope, instanceOf, surface analysis technique]
-
A.
diffraction analysis method
A diffraction analysis method is a technique that interprets the pattern and intensity of waves scattered by a material to determine its structural, compositional, or physical properties.
-
B.
solid-state physics technique
chosen
A solid-state physics technique is a method or experimental approach used to investigate and characterize the physical properties of solid materials at atomic, electronic, and structural levels.
-
C.
technique in analysis
A technique in analysis is a systematic method or procedure used to examine, simplify, or solve mathematical problems involving limits, continuity, differentiation, integration, or related structures.
-
D.
photoemission spectroscopy
Photoemission spectroscopy is an experimental technique that measures the energy and momentum of electrons emitted from a material when it is irradiated with photons, providing detailed information about the material’s electronic structure and surface properties.
-
E.
scanning probe lithography technique
A scanning probe lithography technique is a nanofabrication method that uses a sharp, movable probe to directly pattern surfaces with high spatial resolution through mechanical, thermal, electrical, or chemical interactions.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 7:45 p.m.