Triple
T19050720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirichlet kernel |
E466248
|
entity |
| Predicate | valueAtZero |
P43786
|
FINISHED |
| Object | D_n(0) = 2n+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: D_n(0) = 2n+1 | Statement: [Dirichlet kernel, valueAtZero, D_n(0) = 2n+1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueAtZero Context triple: [Dirichlet kernel, valueAtZero, D_n(0) = 2n+1]
-
A.
valueAt
chosen
Indicates that one entity specifies the value or content associated with another entity at a particular point, position, or context.
-
B.
derivativeAtZero
Indicates that one quantity is the derivative (rate of change) of another quantity evaluated specifically at the point where the input equals zero.
-
C.
zeroDefinition
Indicates that something has no defined value, quantity, or specification within the given context.
-
D.
absoluteZeroValue
Indicates that a quantity, measurement, or parameter is exactly at absolute zero, the lowest possible value in its defined scale.
-
E.
isZeroFor
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc02597c8190b39fd2c7b7e42258 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.