Triple
T32258809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koksma–Hlawka inequality |
E824092
|
entity |
| Predicate | errorBoundDependsOn |
P43797
|
FINISHED |
| Object | variation of the integrand |
—
|
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: variation of the integrand | Statement: [Koksma–Hlawka inequality, errorBoundDependsOn, variation of the integrand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorBoundDependsOn Context triple: [Koksma–Hlawka inequality, errorBoundDependsOn, variation of the integrand]
-
A.
orderDependentBound
Indicates that one entity’s value or behavior is constrained by another in a way that depends on the specific ordering or sequence in which they are considered or applied.
-
B.
accuracyDependsOn
chosen
Indicates that the accuracy of one entity or process is contingent upon, or influenced by, another entity or factor.
-
C.
givesBoundOn
Indicates that one quantity provides an upper or lower limit (a bound) on the value or behavior of another quantity.
-
D.
errorProbabilityBound
Indicates that there is an upper limit or constraint on the probability that an error will occur in a given process or system.
-
E.
errorSide
Indicates the side, party, or component on which an error occurs or is attributed in a given context.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc5652e08190b519631b7d497e75 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:41 a.m.