Triple
T36487890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayesian logistic regression |
E898980
|
entity |
| Predicate | canIncorporate |
P148866
|
FINISHED |
| Object | feature selection via sparsity-inducing priors |
—
|
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: feature selection via sparsity-inducing priors | Statement: [Bayesian logistic regression, canIncorporate, feature selection via sparsity-inducing priors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canIncorporate Context triple: [Bayesian logistic regression, canIncorporate, feature selection via sparsity-inducing priors]
-
A.
mayIncorporate
chosen
Indicates that one entity is allowed or able to include, absorb, or integrate another entity as part of itself or its structure.
-
B.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
C.
incorporatedThrough
Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary entity.
-
D.
incorporatedAgainst
Indicates that a legal entity was formally incorporated in opposition to, or as a countermeasure against, another party.
-
E.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.