Triple
T23372437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GL(n,ℝ) |
E593509
|
entity |
| Predicate | kernelOfDeterminant |
P77179
|
FINISHED |
| Object | SL(n,ℝ) |
—
|
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: SL(n,ℝ) | Statement: [GL(n,ℝ), kernelOfDeterminant, SL(n,ℝ)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: kernelOfDeterminant Context triple: [GL(n,ℝ), kernelOfDeterminant, SL(n,ℝ)]
-
A.
kernelType
Indicates the specific kind or category of kernel associated with or used by an entity.
-
B.
determinant
Indicates that a particular factor or condition has a decisive influence on the outcome, state, or behavior of another entity.
-
C.
kernelOfProjectionFrom
chosen
Indicates the subset of elements that are mapped to zero (or the identity element) by a given projection map from one structure to another.
-
D.
determinantProperty
Indicates that one property or factor determines, governs, or decisively influences another property or outcome.
-
E.
kernelConsistsOf
Indicates that a kernel is composed of or made up from the specified constituent elements or components.
- F. None of above.
Provenance (3 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.