Triple
T10991455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simpson's rule |
E259761
|
entity |
| Predicate | requiresFunctionSmoothness |
P90303
|
FINISHED |
| Object | f has continuous fourth derivative on [a,b] for standard error bound |
—
|
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: f has continuous fourth derivative on [a,b] for standard error bound | Statement: [Simpson's rule, requiresFunctionSmoothness, f has continuous fourth derivative on [a,b] for standard error bound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresFunctionSmoothness Context triple: [Simpson's rule, requiresFunctionSmoothness, f has continuous fourth derivative on [a,b] for standard error bound]
-
A.
regularityAssumption
chosen
Indicates that a relationship or process is assumed to behave in a consistent, well-behaved manner (e.g., continuity, smoothness, or stability) so that certain analyses or inferences are valid.
-
B.
differentiableAlmostEverywhere
Indicates that a function is differentiable at all points of its domain except possibly on a set of measure zero (i.e., for almost every point).
-
C.
continuityFeature
Indicates that one entity serves as a continuity-related element (such as a transition, connector, or linking feature) that maintains or supports an ongoing, coherent relationship between two points, states, or segments.
-
D.
nonDifferentiableAt
Indicates that a function fails to have a well-defined derivative at a specific point.
-
E.
symbolicContinuity
Indicates that there is a consistent, ongoing use or preservation of the same symbols or symbolic forms across time, contexts, or instances.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d1e918819090c71f5a077fa15a |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.