Triple
T9843641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy convergence criterion |
E239286
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | concept in mathematical analysis |
C17471
|
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: concept in mathematical analysis Context triple: [Cauchy convergence criterion, instanceOf, concept in mathematical analysis]
-
A.
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.
-
B.
concept in number theory
A concept in number theory is an abstract idea or construct that describes properties, relationships, or structures involving integers and related numerical systems.
-
C.
concept in stochastic process theory
A concept in stochastic process theory is an abstract construct used to model and analyze systems that evolve randomly over time, capturing their probabilistic dynamics and dependencies.
-
D.
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.
-
E.
mathematical definition
chosen
A mathematical definition is a precise and unambiguous statement that specifies the exact meaning of a mathematical term or concept within a given formal framework.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
Created at: March 30, 2026, 8:33 p.m.