Triple
T12070040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dulong–Petit law for molar heat capacity of many solids at high temperature |
E287399
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | thermodynamic law |
C24243
|
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: thermodynamic law Context triple: [Dulong–Petit law for molar heat capacity of many solids at high temperature, instanceOf, thermodynamic law]
-
A.
formulation of the second law of thermodynamics
The formulation of the second law of thermodynamics is the conceptual class encompassing the various equivalent statements that express the fundamental irreversibility of natural processes and the tendency of isolated systems toward increased entropy.
-
B.
thermodynamic parameter
A thermodynamic parameter is a macroscopic quantity (such as temperature, pressure, or volume) that characterizes the equilibrium state and energy relationships of a thermodynamic system.
-
C.
fundamental physical law
A fundamental physical law is a universal, empirically validated principle that describes how basic aspects of the physical universe consistently behave under specified conditions.
-
D.
scientific law
chosen
A scientific law is a concise, universally applicable statement that describes consistent natural phenomena, typically expressed mathematically, without explaining the underlying mechanisms.
-
E.
law of black-body radiation
The law of black-body radiation describes how an idealized object emits electromagnetic radiation with an intensity and spectrum that depend solely on its temperature, as quantified by Planck’s radiation formula.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:48 p.m.