Triple
T14334406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramanujan tau function |
E355432
|
entity |
| Predicate | LFunction |
P55159
|
FINISHED |
| Object | L(Δ,s) = ∑_{n≥1} τ(n) n^{-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: L(Δ,s) = ∑_{n≥1} τ(n) n^{-s} | Statement: [Ramanujan tau function, LFunction, L(Δ,s) = ∑_{n≥1} τ(n) n^{-s}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LFunction
Context triple: [Ramanujan tau function, LFunction, L(Δ,s) = ∑_{n≥1} τ(n) n^{-s}]
-
A.
PLEXFunction
Indicates a functional or operational role that one entity performs or serves for another within a system or context.
-
B.
leafFunction
Indicates that something serves as a terminal or non-decomposable function within a larger functional or computational structure.
-
C.
linkFunctionFamily
chosen
Indicates a relationship where one function is associated with or belongs to a particular family of related functions.
-
D.
logicFunction
Indicates a relationship where one entity serves as a logical function or operator that determines the truth value or output based on given inputs or conditions involving another entity.
-
E.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
- 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.