Triple
T12597463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | classical fourth-order Runge–Kutta method |
E300768
|
entity |
| Predicate | evaluatesFunctionPerStep |
P105624
|
FINISHED |
| Object | 4 times |
—
|
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: 4 times | Statement: [classical fourth-order Runge–Kutta method, evaluatesFunctionPerStep, 4 times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluatesFunctionPerStep Context triple: [classical fourth-order Runge–Kutta method, evaluatesFunctionPerStep, 4 times]
-
A.
performedFunction
Indicates that an entity has carried out or executed a particular function, role, or operation.
-
B.
evaluationFunction
Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
-
C.
performsFunctionAt
Indicates that an entity carries out or executes a specific function at a particular location, time, or contextual point.
-
D.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
E.
timeOfEvaluation
Indicates the specific time or moment at which an assessment, measurement, or judgment is made about an entity or situation.
- 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.