Triple
T17520549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OneHotEncoder |
E426668
|
entity |
| Predicate | isStepOf |
P9959
|
FINISHED |
| Object | data preprocessing pipeline |
—
|
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: data preprocessing pipeline | Statement: [OneHotEncoder, isStepOf, data preprocessing pipeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStepOf Context triple: [OneHotEncoder, isStepOf, data preprocessing pipeline]
-
A.
isStepToward
Indicates that one action, state, or condition serves as progress or a necessary move in the direction of achieving another.
-
B.
hasStep
chosen
Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
-
C.
hasStepsLeadingTo
Indicates that one location or object is connected to another by a set of steps or a staircase leading toward it.
-
D.
hasStepFamily
Indicates that one person is related to another as a member of a stepfamily, such as a stepparent, stepchild, or stepsibling, through marriage rather than blood or adoption.
-
E.
hasStepSibling
Indicates that one person is the step-sibling of another, meaning they are related through the marriage of their parents rather than by blood or adoption.
- 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.