Triple
T10991158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirichlet L-functions |
E259755
|
entity |
| Predicate | poleProperty |
P5774
|
FINISHED |
| Object | L(s,χ) is entire for nonprincipal characters |
—
|
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(s,χ) is entire for nonprincipal characters | Statement: [Dirichlet L-functions, poleProperty, L(s,χ) is entire for nonprincipal characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poleProperty Context triple: [Dirichlet L-functions, poleProperty, L(s,χ) is entire for nonprincipal characters]
-
A.
squareProperty
Indicates that one entity is the square (second power) of a numerical property or value associated with another entity.
-
B.
property
chosen
Indicates that one entity possesses, is characterized by, or has an attribute or quality associated with another entity.
-
C.
propertyForm
Indicates the specific form, type, or configuration that a property takes within a given context or system.
-
D.
architectureProperty
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
-
E.
studiedProperty
Indicates that an entity has examined, researched, or analyzed a particular property or attribute of another entity.
- 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_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.