Triple
T6833298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richardson iteration |
E157388
|
entity |
| Predicate | canDivergeIf |
P37403
|
FINISHED |
| Object | relaxation parameter is chosen too large |
—
|
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: relaxation parameter is chosen too large | Statement: [Richardson iteration, canDivergeIf, relaxation parameter is chosen too large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDivergeIf Context triple: [Richardson iteration, canDivergeIf, relaxation parameter is chosen too large]
-
A.
hasDivergence
Indicates that there is a difference, deviation, or separation between two otherwise related entities, states, or paths.
-
B.
canSplit
Indicates that an entity has the ability or is allowed to divide something into two or more parts.
-
C.
hasCurvatureDivergence
Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
-
D.
divergesAt
chosen
Indicates that a process, function, or behavior fails to converge or terminate at a specific point or under specific conditions.
-
E.
canMerge
Indicates that two or more entities are compatible in such a way that they can be combined into a single unified entity or structure.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.