Triple
T12597410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heun’s method |
E300767
|
entity |
| Predicate | stepType |
P105614
|
FINISHED |
| Object | two-stage Runge–Kutta scheme |
—
|
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: two-stage Runge–Kutta scheme | Statement: [Heun’s method, stepType, two-stage Runge–Kutta scheme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepType Context triple: [Heun’s method, stepType, two-stage Runge–Kutta scheme]
-
A.
stepReturns
Indicates that a particular step in a process or workflow yields, outputs, or hands back a specified result or value.
-
B.
stepTakes
Indicates that one step directly follows or is taken after another step in a process or sequence.
-
C.
stepUpdateType
Indicates the type or category of update applied to a particular step within a process or workflow.
-
D.
stepCount
Indicates the number of discrete steps taken or required in a process, sequence, or movement.
-
E.
isStepToward
Indicates that one action, state, or condition serves as progress or a necessary move in the direction of achieving another.
- 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.