Triple
T35690008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | beta-Bernoulli process construction |
E1031260
|
entity |
| Predicate | controlsSparsityVia |
P55154
|
FINISHED |
| Object | mass parameter of beta process |
—
|
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: mass parameter of beta process | Statement: [beta-Bernoulli process construction, controlsSparsityVia, mass parameter of beta process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsSparsityVia Context triple: [beta-Bernoulli process construction, controlsSparsityVia, mass parameter of beta process]
-
A.
regularizationControlledBy
chosen
Indicates that the regularization applied in a process, model, or system is governed, adjusted, or determined by a specific controlling factor or mechanism.
-
B.
controlsComplexityBy
Indicates that one entity manages, limits, or regulates the complexity of another entity, process, or system.
-
C.
pruningTolerance
Indicates how well an entity can withstand or recover from being cut back, trimmed, or pruned.
-
D.
controlledFor
Indicates that the influence or effect of a specified factor has been accounted for or neutralized when assessing the relationship between other variables or entities.
-
E.
controlCost
Indicates that one entity determines, influences, or sets the expense associated with another entity or activity.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 3, 2026, 4:05 p.m.