Triple
T23893457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littlewood’s three principles of real analysis |
E600840
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | heuristic principles in real analysis |
C41347
|
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: heuristic principles in real analysis Context triple: [Littlewood’s three principles of real analysis, instanceOf, heuristic principles in real analysis]
-
A.
theory in real analysis
chosen
A theory in real analysis is a coherent framework of definitions, axioms, and theorems that rigorously describes and explains properties and behaviors of real numbers, sequences, functions, and related structures.
-
B.
result in real analysis
In real analysis, a result is a proven mathematical statement—such as a theorem, lemma, proposition, or corollary—that establishes a specific property or relationship about real-valued functions, sequences, sets, or structures on the real numbers.
-
C.
equation in real analysis
An equation in real analysis is a formal statement asserting the equality of two real-valued expressions, typically involving real variables, constants, and functions, whose solutions are the real numbers that make the statement true.
-
D.
example in mathematical analysis
An example in mathematical analysis is a specific function, sequence, or construction used to illustrate, test, or clarify a general concept, theorem, or phenomenon within the subject.
-
E.
result in convex analysis
In convex analysis, a result is a formally stated and proven fact—such as a theorem, lemma, or proposition—that characterizes properties or relationships of convex sets, convex functions, or related optimization structures.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
Created at: April 17, 2026, 8:25 p.m.