Triple
T14334721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanujan’s sum |
E355439
|
entity |
| Predicate | isPeriodicIn |
P7407
|
FINISHED |
| Object | n modulo q |
—
|
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: n modulo q | Statement: [Ramanujan’s sum, isPeriodicIn, n modulo q]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPeriodicIn Context triple: [Ramanujan’s sum, isPeriodicIn, n modulo q]
-
A.
isNonPeriodic
Indicates that the subject does not occur, repeat, or follow a pattern at regular intervals over time.
-
B.
tienePeriodicidad
chosen
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
-
C.
periodizedAs
Indicates that something has been divided or organized into distinct time periods according to a particular periodization scheme.
-
D.
includesPeriodFeature
Indicates that something contains or incorporates a specific period-related feature as part of its characteristics or structure.
-
E.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.