Triple
T36489706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian optimization |
E899020
|
entity |
| Predicate | commonAcquisitionFunction |
P198893
|
FINISHED |
| Object | expected improvement |
—
|
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: expected improvement | Statement: [Bayesian optimization, commonAcquisitionFunction, expected improvement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonAcquisitionFunction Context triple: [Bayesian optimization, commonAcquisitionFunction, expected improvement]
-
A.
acquisitionStrategy
Indicates the method or approach by which one entity acquires or gains control, ownership, or access to another entity.
-
B.
performanceFunction
Indicates a relationship where a function or mapping quantifies or evaluates the performance level of an entity, action, or system.
-
C.
cavityFunction
Indicates that one entity serves as a cavity or hollow space that enables or supports a particular function or activity of another entity.
-
D.
activationFunction
Indicates the specific mathematical transformation applied to a neuron's input to produce its output in a computational or neural model.
-
E.
adaptationFunction
Indicates how one entity changes, adjusts, or transforms in response to another entity or to specific conditions.
- F. None of above. chosen
Provenance (4 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
| PDg | Predicate description generation | batch_69ff10956d3881909144f880f92e90c4 |
completed | May 9, 2026, 10:46 a.m. |
Created at: May 3, 2026, 4:10 p.m.