Triple
T19231108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernstein polynomials |
E480872
|
entity |
| Predicate | formsBasis |
P135273
|
FINISHED |
| Object | polynomial space P_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: polynomial space P_n | Statement: [Bernstein polynomials, formsBasis, polynomial space P_n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsBasis Context triple: [Bernstein polynomials, formsBasis, polynomial space P_n]
-
A.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
B.
formsFrom
Indicates that one entity is created, derived, or takes shape as a result of another entity.
-
C.
formsWith
Indicates that one entity combines or associates with another to create or constitute a joint structure, group, or configuration.
-
D.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
E.
boundaryBasis
Indicates that one entity serves as a foundational or defining boundary for another entity.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9ce5e081909df994841ce476d5 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:25 p.m.