Triple
T17872211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kleene numbering |
E446862
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | numbering of partial recursive functions |
C39235
|
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: numbering of partial recursive functions Context triple: [Kleene numbering, instanceOf, numbering of partial recursive functions]
-
A.
Conway number
A Conway number is a recursively defined number system introduced by John Conway that generalizes real numbers and ordinals, allowing arithmetic and game-theoretic values to be represented within a unified framework.
-
B.
arithmetical function
An arithmetical function is a function defined on the positive integers that assigns to each integer a (usually complex or real) value, often encoding number-theoretic properties such as divisors, primes, or multiplicative structure.
-
C.
total function
A total function is a function that is defined and assigns exactly one output value for every possible input in its domain.
-
D.
representation in lambda calculus
A representation in lambda calculus is a systematic encoding of data, operations, or computational structures solely using lambda terms, enabling them to be manipulated and reasoned about within the formalism.
-
E.
hyperoperation notation
Hyperoperation notation is a systematic way of representing an infinite hierarchy of arithmetic operations (such as addition, multiplication, exponentiation, tetration, and beyond) using a unified symbolic scheme.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:18 a.m.