Triple
T25319411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dedekind cut |
E634836
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | construction of real numbers |
C50018
|
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: construction of real numbers Context triple: [Dedekind cut, instanceOf, construction of real numbers]
-
A.
measure-theoretic construction
A measure-theoretic construction is a rigorous method of building mathematical objects—such as measures, integrals, or probability spaces—by specifying σ-algebras, set functions, and limiting processes that satisfy the axioms of measure theory.
-
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.
construction in proof theory
A construction in proof theory is a systematically defined method or procedure used within formal proofs to build objects, derive new statements, or transform existing proofs while preserving logical validity.
-
D.
theory in real analysis
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.
-
E.
subset of the real line
A subset of the real line is any collection of real numbers, possibly finite or infinite, that inherits the usual order and topology from the real number system.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 21, 2026, 1:28 p.m.