Triple
T32214241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skolemization |
E822885
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | logical transformation technique |
C59025
|
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: logical transformation technique Context triple: [Skolemization, instanceOf, logical transformation technique]
-
A.
mathematical transformation
A mathematical transformation is a function or operation that systematically maps elements from one set or space to another, often altering their position, scale, orientation, or form while following defined rules.
-
B.
data transformation language
A data transformation language is a specialized programming or query language designed to define, manipulate, and convert data from one structure or format into another.
-
C.
asymmetric transformation
An asymmetric transformation is a process or operation that changes an object, system, or data in a way that is not identical or easily reversible in the opposite direction, often producing different outcomes depending on the direction of application.
-
D.
technique in analysis
A technique in analysis is a systematic method or procedure used to examine, simplify, or solve mathematical problems involving limits, continuity, differentiation, integration, or related structures.
-
E.
coordinate transformation
A coordinate transformation is a mathematical operation that converts the representation of points or vectors from one coordinate system to another while preserving their underlying geometric 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:37 a.m.