Triple
T17520677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Support Vector Machine |
E426671
|
entity |
| Predicate | commonKernel |
P5089
|
FINISHED |
| Object | linear kernel |
—
|
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: linear kernel | Statement: [Support Vector Machine, commonKernel, linear kernel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonKernel Context triple: [Support Vector Machine, commonKernel, linear kernel]
-
A.
coreModule
Indicates that something functions as a primary or foundational module within a larger system or structure.
-
B.
primaryKernelType
chosen
Indicates that one entity is the main or default kernel type associated with another entity.
-
C.
coreStandard
Indicates that something conforms to, is defined by, or is governed by a central or foundational standard or specification.
-
D.
commonApplication
Indicates that multiple entities share or participate in the same application, process, or usage context.
-
E.
commonFor
Indicates that something is typical, usual, or frequently occurring for a given entity or context.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.