Triple
T38609481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernstein center in representation theory |
E934437
|
entity |
| Predicate | typicalCoefficientField |
P93936
|
FINISHED |
| Object | complex numbers |
—
|
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: complex numbers | Statement: [Bernstein center in representation theory, typicalCoefficientField, complex numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCoefficientField Context triple: [Bernstein center in representation theory, typicalCoefficientField, complex numbers]
-
A.
coefficientProperty
Indicates a relationship where one entity serves as a coefficient or scalar factor that quantitatively modifies or characterizes another entity or property.
-
B.
coefficientsIn
chosen
Indicates that one entity appears as a coefficient within the mathematical expression or representation of another entity.
-
C.
hasCoefficientType
Indicates that an entity (such as a term, equation, or expression) is associated with a specific type or category of coefficient it uses.
-
D.
coefficientSystems
Indicates a relationship where specific numerical or algebraic coefficients are assigned or associated with a system, structure, or set of elements.
-
E.
fieldOfDefinition
Indicates the minimal field over which a given mathematical object (such as a variety, function, or representation) can be defined so that all its defining data are expressible within that field.
- 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.