Triple
T7150470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milstein method |
E166677
|
entity |
| Predicate | numericalStability |
P75144
|
FINISHED |
| Object | conditionally stable depending on step size and coefficients |
—
|
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: conditionally stable depending on step size and coefficients | Statement: [Milstein method, numericalStability, conditionally stable depending on step size and coefficients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numericalStability Context triple: [Milstein method, numericalStability, conditionally stable depending on step size and coefficients]
-
A.
constantExactness
Indicates that a value or relationship holds with complete, unvarying precision, without any approximation or deviation.
-
B.
stabilityGoal
Indicates a relationship where an action, policy, or entity is aimed at achieving, maintaining, or enhancing stability in a given system or context.
-
C.
numericalProperty
Indicates that an entity is associated with a specific numeric value or measurable quantity.
-
D.
accuracyDependsOn
Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
-
E.
isStable
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f28b188190b1732ca711666531 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.