Triple
T12596994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan’s totient functions |
E300758
|
entity |
| Predicate | generatingFunctionType |
P46242
|
FINISHED |
| Object | Dirichlet generating function |
—
|
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: Dirichlet generating function | Statement: [Jordan’s totient functions, generatingFunctionType, Dirichlet generating function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatingFunctionType Context triple: [Jordan’s totient functions, generatingFunctionType, Dirichlet generating function]
-
A.
hasGeneratingFunction
chosen
Indicates that one entity serves as the generating function associated with, or defining, another entity.
-
B.
hasGeneratorType
Indicates that an entity is associated with or uses a specific type or category of generator.
-
C.
generationMethod
Indicates the process, technique, or procedure by which something is created, produced, or derived.
-
D.
hasGeneralFormula
Indicates that an entity (such as a class of compounds or expressions) is characterized by a general or canonical formula that represents all its specific instances.
-
E.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.