Triple
T12597458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | classical fourth-order Runge–Kutta method |
E300768
|
entity |
| Predicate | definesK2As |
P105621
|
FINISHED |
| Object | k2 = f(t_n + h/2, y_n + h k1 / 2) |
—
|
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: k2 = f(t_n + h/2, y_n + h k1 / 2) | Statement: [classical fourth-order Runge–Kutta method, definesK2As, k2 = f(t_n + h/2, y_n + h k1 / 2)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesK2As Context triple: [classical fourth-order Runge–Kutta method, definesK2As, k2 = f(t_n + h/2, y_n + h k1 / 2)]
-
A.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
-
B.
definesSystemAs
Indicates that one entity explicitly specifies or establishes another entity as the system to be used, referenced, or treated as authoritative.
-
C.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
-
D.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
E.
definesFunctioningOf
Indicates that one entity specifies or determines how another entity operates or functions.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954e351f88190869220d46e0ce282 |
completed | April 10, 2026, 7:52 p.m. |
Created at: April 9, 2026, 5:08 p.m.