Triple
T7678210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godunov-type schemes |
E173919
|
entity |
| Predicate | timeIntegration |
P75141
|
FINISHED |
| Object | explicit time-stepping |
—
|
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: explicit time-stepping | Statement: [Godunov-type schemes, timeIntegration, explicit time-stepping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeIntegration Context triple: [Godunov-type schemes, timeIntegration, explicit time-stepping]
-
A.
timeOfIntegration
Indicates the specific point or period in time when one entity is incorporated, combined, or merged into another system, process, or structure.
-
B.
timeDiscretizationFormula
Indicates a relationship where a specific mathematical formula is used to convert or approximate continuous time into discrete time steps for analysis or computation.
-
C.
timeSteppingDirection
Indicates the direction in which time progresses or is advanced within a process, simulation, or sequence of steps.
-
D.
timeDiscretization
chosen
Indicates how a continuous or overall time period is divided into discrete intervals or steps for representation or processing.
-
E.
timeDependence
Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4:01 p.m.