Triple
T19050667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirichlet eta function |
E466247
|
entity |
| Predicate | seriesRepresentation |
P134884
|
FINISHED |
| Object | η(s) = 1 - 2^{-s} + 3^{-s} - 4^{-s} + ⋯ |
—
|
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: η(s) = 1 - 2^{-s} + 3^{-s} - 4^{-s} + ⋯ | Statement: [Dirichlet eta function, seriesRepresentation, η(s) = 1 - 2^{-s} + 3^{-s} - 4^{-s} + ⋯]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesRepresentation
Context triple: [Dirichlet eta function, seriesRepresentation, η(s) = 1 - 2^{-s} + 3^{-s} - 4^{-s} + ⋯]
-
A.
seriesWith
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
-
B.
seriesType
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
C.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
D.
seriesContext
Indicates that one entity occurs within, belongs to, or is understood in relation to a broader series or sequence involving the other entity.
-
E.
seriesScale
Indicates that one value or measurement is expressed relative to another according to a defined proportional scale within a series.
- 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_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. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.