Triple
T25788255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riccati equation |
E649479
|
entity |
| Predicate | isNonlinearIn |
P89388
|
FINISHED |
| Object | unknown function |
—
|
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: unknown function | Statement: [Riccati equation, isNonlinearIn, unknown function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonlinearIn Context triple: [Riccati equation, isNonlinearIn, unknown function]
-
A.
isLinear
Indicates that a relationship, function, or structure preserves linearity, typically meaning it satisfies additivity and homogeneity (or forms a straight-line dependence between variables).
-
B.
typeOfNonlinearity
chosen
Indicates the specific kind or form of nonlinearity that characterizes how one entity behaves or responds in relation to another.
-
C.
isQuadraticIn
Indicates that one quantity depends on another through a quadratic (second-degree polynomial) relationship in that variable.
-
D.
isNonsingularIf
Indicates that something is nonsingular (e.g., invertible or non-degenerate) under a specified condition or set of conditions.
-
E.
linearity
Indicates that a relationship between quantities preserves addition and scalar multiplication, so outputs change in direct proportion to inputs.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 5:57 a.m.