Triple
T19231109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernstein polynomials |
E480872
|
entity |
| Predicate | nonNegativeOn |
P4230
|
FINISHED |
| Object | [0,1] |
—
|
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: [0,1] | Statement: [Bernstein polynomials, nonNegativeOn, [0,1]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonNegativeOn Context triple: [Bernstein polynomials, nonNegativeOn, [0,1]]
-
A.
isNonNegative
chosen
Indicates that a value is greater than or equal to zero.
-
B.
nonPostNominal
Indicates that the related element does not appear in a post-nominal position (i.e., it does not follow the noun it modifies or relates to).
-
C.
positivityProperty
Indicates that something possesses a positive, beneficial, or favorable quality, effect, or evaluation.
-
D.
nonConstructive
Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
-
E.
nonVolatile
Indicates that the associated entity or state does not change, disappear, or lose its value when power is removed or over time.
- 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_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. |
Created at: April 10, 2026, 1:25 p.m.