Triple
T22666491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson kernel |
E559804
|
entity |
| Predicate | approximationProperty |
P145836
|
FINISHED |
| Object | Poisson integrals approximate boundary data in L^p spaces under suitable conditions |
—
|
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: Poisson integrals approximate boundary data in L^p spaces under suitable conditions | Statement: [Poisson kernel, approximationProperty, Poisson integrals approximate boundary data in L^p spaces under suitable conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximationProperty Context triple: [Poisson kernel, approximationProperty, Poisson integrals approximate boundary data in L^p spaces under suitable conditions]
-
A.
approximationType
Indicates the specific method or scheme used to approximate a value, function, or relationship in a given context.
-
B.
approximationClass
Indicates a relationship where one entity is classified as an approximation or approximate representation of another.
-
C.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
D.
approximability
chosen
Indicates that one entity can be closely estimated, represented, or approached in value, form, or behavior by another, typically within some defined margin of error.
-
E.
hasApproximationGuarantee
Indicates that there exists a formal bound on how close a solution or outcome is to the optimal one.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781c2c808190baf6964ca1eced6f |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:09 p.m.