Triple
T26254891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T : z ↦ z + 1 |
E656690
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | modular transformation |
C3058
|
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: modular transformation Context triple: [T : z ↦ z + 1, instanceOf, modular transformation]
-
A.
mathematical transformation
chosen
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.
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.
-
C.
modular objects
Modular objects are self-contained, interchangeable components designed to function independently yet integrate seamlessly within a larger system to enable flexible configuration and reuse.
-
D.
endomorphism of modular forms space
An endomorphism of a modular forms space is a linear self-map of a given space of modular forms (typically of fixed weight, level, and character) that sends each modular form in the space to another modular form in the same space.
-
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.
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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
Created at: April 26, 2026, 9:08 p.m.