Triple
T26006770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclidean algorithm for polynomials |
E646780
|
entity |
| Predicate | complexityDependsOn |
P162024
|
FINISHED |
| Object | degrees of the input polynomials |
—
|
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: degrees of the input polynomials | Statement: [Euclidean algorithm for polynomials, complexityDependsOn, degrees of the input polynomials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complexityDependsOn Context triple: [Euclidean algorithm for polynomials, complexityDependsOn, degrees of the input polynomials]
-
A.
hasComplexity
Indicates that something possesses a certain level or type of complexity, often in terms of structure, behavior, or difficulty.
-
B.
parameterizedComplexity
chosen
Indicates that the relationship or action is analyzed or characterized in terms of its computational complexity as a function of one or more explicit parameters.
-
C.
complexityStatus
Indicates the current level or state of complexity associated with an entity or process.
-
D.
hasReasoningComplexity
Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
-
E.
parsingComplexity
Indicates the level of difficulty or computational effort required to parse or analyze a given input or structure.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 9 a.m.