Triple
T14720971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Probably Approximately Correct learning |
E345811
|
entity |
| Predicate | errorParameterSymbol |
P13707
|
FINISHED |
| Object | epsilon |
—
|
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: epsilon | Statement: [Probably Approximately Correct learning, errorParameterSymbol, epsilon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorParameterSymbol Context triple: [Probably Approximately Correct learning, errorParameterSymbol, epsilon]
-
A.
method_error_parameters
Indicates that an error is associated with a method through specific parameters that characterize or describe that error.
-
B.
parameter
Indicates that one entity serves as a parameter or argument that configures, constrains, or influences the behavior or outcome of another entity or process.
-
C.
parameterMeaning
Indicates that one entity specifies the semantic meaning, role, or purpose of a parameter associated with another entity.
-
D.
parametrizes
Indicates that one entity defines or controls the variable parameters that determine the behavior, form, or configuration of another entity.
-
E.
symbolType
chosen
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.