Triple
T2171606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riemann–Siegel formula |
E48437
|
entity |
| Predicate | hasErrorTerm |
P2920
|
FINISHED |
| Object | remainder of size about O(t^{-1/4}) in basic form |
—
|
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: remainder of size about O(t^{-1/4}) in basic form | Statement: [Riemann–Siegel formula, hasErrorTerm, remainder of size about O(t^{-1/4}) in basic form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasErrorTerm
Context triple: [Riemann–Siegel formula, hasErrorTerm, remainder of size about O(t^{-1/4}) in basic form]
-
A.
hasFirstTerm
Indicates that an entity is associated with a specific first term in an ordered sequence, period, or series.
-
B.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
C.
hasVariance
Indicates that there is a measurable degree of variability or dispersion in the values or outcomes associated with the related entities.
-
D.
hasIndependentVariable
Indicates that one entity functions as the independent variable that influences or determines another entity in a relationship or experiment.
-
E.
hasDependentVariable
Indicates that one variable’s value is determined by, or functionally depends on, the value(s) of another variable or set of variables.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.