Triple
T25677056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GF(p^m) |
E643835
|
entity |
| Predicate | basisType |
P73078
|
FINISHED |
| Object | polynomial basis |
—
|
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: polynomial basis | Statement: [GF(p^m), basisType, polynomial basis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basisType Context triple: [GF(p^m), basisType, polynomial basis]
-
A.
baseType
Indicates that one entity serves as the underlying or parent type from which another entity is derived or specialized.
-
B.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
C.
basisDefinition
chosen
Indicates that one entity serves as the foundational explanation, principle, or justification upon which another entity is defined or established.
-
D.
basedOnType
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
E.
basingMode
Indicates the method or principle on which something is founded, justified, or determined.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb3712cc8190b6e851960cc7c9e9 |
completed | May 2, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7:40 p.m.