Triple
T17520626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipeline (scikit-learn) |
E426670
|
entity |
| Predicate | hyperparameterNamingConvention |
P2555
|
FINISHED |
| Object | stepname__parametername |
—
|
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: stepname__parametername | Statement: [Pipeline (scikit-learn), hyperparameterNamingConvention, stepname__parametername]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hyperparameterNamingConvention Context triple: [Pipeline (scikit-learn), hyperparameterNamingConvention, stepname__parametername]
-
A.
namingConventionType
Indicates the specific style or set of rules used for naming entities or elements in a given context.
-
B.
namingStructure
chosen
Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
-
C.
constantName
Indicates that an entity has a specific, fixed identifier or label used as a constant within a system or context.
-
D.
namingFunction
Indicates a relationship where one entity serves as the name or naming mechanism assigned to another entity.
-
E.
exportName
Indicates that one entity is exported under a specific name or label in relation to another context or 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.