Triple
T4277077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RandomizedSearchCV |
E97068
|
entity |
| Predicate | canOptimize |
P9928
|
FINISHED |
| Object | any estimator with fit method |
—
|
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: any estimator with fit method | Statement: [RandomizedSearchCV, canOptimize, any estimator with fit method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOptimize Context triple: [RandomizedSearchCV, canOptimize, any estimator with fit method]
-
A.
optimize
Indicates improving a process, system, or outcome to achieve the best possible performance or efficiency under given constraints.
-
B.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
C.
optimizationType
Indicates the specific strategy or method used to improve performance or efficiency within a given process or system.
-
D.
canUse
chosen
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
E.
canDetermine
Indicates that one entity has the ability or authority to find out, establish, or decide the state, value, or outcome of another entity or situation.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501ef1388190b0c968b069014a59 |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.