Triple
T22033952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calderón–Zygmund theory |
E544152
|
entity |
| Predicate | characteristicResult |
P70548
|
FINISHED |
| Object | L^p-boundedness of singular integrals for 1<p<∞ |
—
|
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: L^p-boundedness of singular integrals for 1<p<∞ | Statement: [Calderón–Zygmund theory, characteristicResult, L^p-boundedness of singular integrals for 1<p<∞]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicResult Context triple: [Calderón–Zygmund theory, characteristicResult, L^p-boundedness of singular integrals for 1<p<∞]
-
A.
resultCharacterization
chosen
Indicates how the outcome of an event, process, or action is qualitatively described or characterized.
-
B.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
recordCharacteristic
Indicates that an entity documents or stores a specific characteristic or attribute of another entity.
-
D.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
E.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ef97348190b8dcdcad11694ebe |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:24 p.m.