Triple
T10991140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirichlet L-functions |
E259755
|
entity |
| Predicate | nonvanishingProperty |
P9151
|
FINISHED |
| Object | L(1,χ)≠0 for nontrivial Dirichlet characters χ |
—
|
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(1,χ)≠0 for nontrivial Dirichlet characters χ | Statement: [Dirichlet L-functions, nonvanishingProperty, L(1,χ)≠0 for nontrivial Dirichlet characters χ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonvanishingProperty Context triple: [Dirichlet L-functions, nonvanishingProperty, L(1,χ)≠0 for nontrivial Dirichlet characters χ]
-
A.
nonVolatile
Indicates that the associated entity or state does not change, disappear, or lose its value when power is removed or over time.
-
B.
nonMaterialAspect
Indicates that one entity represents an immaterial, intangible, or conceptual aspect or property of another entity.
-
C.
vanishesWhen
Indicates that one entity ceases to exist, be visible, or be present whenever a specified condition involving another entity holds.
-
D.
isNonzeroFor
chosen
Indicates that a given value, function, or quantity is not equal to zero under specified conditions or for specified inputs.
-
E.
nonDifferentiableAt
Indicates that a function fails to have a well-defined derivative at a specific point.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b8d7088190b7d6b63c3bac4ad1 |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.