Triple
T18793767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drude model |
E459580
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model in solid-state physics |
C41243
|
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: model in solid-state physics Context triple: [Drude model, instanceOf, model in solid-state physics]
-
A.
model in superconductivity
A model in superconductivity is a theoretical framework that describes how electrons pair and move without resistance in certain materials below a critical temperature, capturing key phenomena such as the Meissner effect and energy gap formation.
-
B.
spin model
A spin model is a mathematical representation of interacting discrete magnetic moments (spins) on a lattice or graph, used to study phase transitions and collective behavior in statistical and condensed matter physics.
-
C.
solid-state physics technique
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.
-
D.
particle physics model
A particle physics model is a theoretical framework that describes the fundamental particles and their interactions, aiming to explain and predict phenomena at the smallest scales of matter and energy.
-
E.
generalization of the Ising model
A generalization of the Ising model is a statistical physics framework that extends the original spin-½ lattice system to more complex spins, interactions, geometries, or degrees of freedom to describe a wider range of phase transitions and critical phenomena.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.