Triple
T34689248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton’s Harnack inequalities for Ricci flow |
E890839
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | differential inequality |
C58796
|
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: differential inequality Context triple: [Hamilton’s Harnack inequalities for Ricci flow, instanceOf, differential inequality]
-
A.
differential
A differential is a mechanical device in a vehicle’s drivetrain that allows wheels on the same axle to rotate at different speeds while transmitting power, especially when turning.
-
B.
ordinary differential equation
An ordinary differential equation is an equation involving an unknown function of a single independent variable and its derivatives, relating them through specified functional relationships.
-
C.
variable-coefficient differential equation
A variable-coefficient differential equation is a differential equation in which the coefficients multiplying the unknown function and its derivatives depend on the independent variable(s) rather than being constant.
-
D.
norm inequality
A norm inequality is a mathematical statement that compares the sizes (norms) of vectors or functions, often establishing bounds or relationships between different norms in a vector space.
-
E.
inequality in inner product spaces
Inequality in inner product spaces refers to fundamental bounds, such as the Cauchy–Schwarz and triangle inequalities, that relate norms and inner products of vectors and constrain their geometric and algebraic relationships.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:05 a.m.