Triple
T27675251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chebyshev polynomials of the first kind |
E697760
|
entity |
| Predicate | degreeOfT_n |
P165091
|
FINISHED |
| Object | n |
—
|
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: n | Statement: [Chebyshev polynomials of the first kind, degreeOfT_n, n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfT_n Context triple: [Chebyshev polynomials of the first kind, degreeOfT_n, n]
-
A.
degreeNComponent
Indicates that one entity is a component or part of another entity specifically in the context of its degree or level.
-
B.
degreeOverQ
Indicates that one entity has an academic degree or qualification in a particular field, subject, or from a specific institution.
-
C.
tenthTerm
Indicates that one entity is the tenth term in a sequence or ordered list associated with another entity.
-
D.
nthDerivativeProperty
Indicates a relationship where a property is defined in terms of the n-th order derivative of a function or quantity with respect to some variable.
-
E.
T_0(x)
Indicates that entity x possesses or is characterized by the property or state denoted by T_0.
- F. None of above. chosen
Provenance (4 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 2:43 p.m.