Triple
T7338619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSL(2,ℤ) |
E169191
|
entity |
| Predicate | kernelOfProjectionFrom |
P77179
|
FINISHED |
| Object | {±I} in SL(2,ℤ) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: {±I} in SL(2,ℤ) | Statement: [PSL(2,ℤ), kernelOfProjectionFrom, {±I} in SL(2,ℤ)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kernelOfProjectionFrom
Context triple: [PSL(2,ℤ), kernelOfProjectionFrom, {±I} in SL(2,ℤ)]
-
A.
kernelType
Indicates the specific kind or category of kernel associated with or used by an entity.
-
B.
representationWithRespectTo
Indicates a relationship in which one entity serves as a representation, depiction, or stand-in for another entity under a particular perspective, context, or interpretive framework.
-
C.
primaryKernelType
Indicates that one entity is the main or default kernel type associated with another entity.
-
D.
coordinateFunction
Indicates a functional relationship that maps or translates one set of coordinates to another within a defined space or system.
-
E.
onAffineSpace
Indicates that one geometric object or structure lies within or is defined over a specified affine space.
- F. None of above. chosen
Provenance (4 batches)
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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f3463d0481908aed9ed43a8ac6a8 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 3:04 p.m.