Triple
T17520581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StandardScaler |
E426669
|
entity |
| Predicate | parameterEstimatedFrom |
P70307
|
FINISHED |
| Object | training data |
—
|
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: training data | Statement: [StandardScaler, parameterEstimatedFrom, training data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parameterEstimatedFrom Context triple: [StandardScaler, parameterEstimatedFrom, training data]
-
A.
parameterLearning
Indicates a process or relationship in which parameters of a model, system, or function are adjusted or inferred—typically from data—to improve performance or fit.
-
B.
estimatedUsing
chosen
Indicates that one entity’s value, state, or outcome is derived by applying an estimation method, model, or procedure based on another entity.
-
C.
separatesEstimationOf
Indicates that one entity distinguishes or isolates the estimation or assessment of another entity from other factors or components.
-
D.
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.
-
E.
areEstimatedIn
Indicates that a value or quantity is approximated or inferred within a specified context, framework, or unit.
- 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.