Triple
T19285079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourier series |
E482288
|
entity |
| Predicate | convergesInSense |
P14357
|
FINISHED |
| Object | pointwise almost everywhere |
—
|
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: pointwise almost everywhere | Statement: [Fourier series, convergesInSense, pointwise almost everywhere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convergesInSense Context triple: [Fourier series, convergesInSense, pointwise almost everywhere]
-
A.
convergenceProperty
chosen
Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
-
B.
formedByConvergenceOf
Indicates that something comes into existence or is created as a result of multiple elements, paths, or processes coming together and uniting.
-
C.
hasSense
Indicates that an entity possesses or is associated with a particular sensory perception, meaning, or interpretation.
-
D.
convergentWith
Indicates that two or more entities independently develop similar characteristics, functions, or outcomes, typically in response to comparable conditions or constraints.
-
E.
convertedIn
Indicates that one entity has been transformed, changed, or translated into another form, state, or representation within a specified 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0152d48190b92272d4c7caa708 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.