Triple
T4927257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weierstrass function |
E110606
|
entity |
| Predicate | hasRegularity |
P59518
|
FINISHED |
| Object | Hölder continuous of some exponent <1 |
—
|
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: Hölder continuous of some exponent <1 | Statement: [Weierstrass function, hasRegularity, Hölder continuous of some exponent <1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegularity Context triple: [Weierstrass function, hasRegularity, Hölder continuous of some exponent <1]
-
A.
isRegularAt
Indicates that a function or mapping behaves regularly (e.g., is analytic, smooth, or non-singular) at a specified point or region, without irregularities or singularities there.
-
B.
isRuleGoverned
Indicates that an entity’s behavior, structure, or operation is determined and constrained by explicit rules or formal regulations.
-
C.
regulatesOrIsRegulatedBy
Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
-
D.
tienePeriodicidad
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
-
E.
meetsRegularly
Indicates that two or more entities come together on a recurring or scheduled basis.
- F. None of above. chosen
Provenance (4 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7036d8e88190bc4be2975160da23 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6d3806f881909c06687e9e57b67f |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:30 p.m.