Triple
T12515577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSA |
E299183
|
entity |
| Predicate | cryptographicPrimitiveType |
P21840
|
FINISHED |
| Object | asymmetric-key algorithm |
—
|
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: asymmetric-key algorithm | Statement: [DSA, cryptographicPrimitiveType, asymmetric-key algorithm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cryptographicPrimitiveType Context triple: [DSA, cryptographicPrimitiveType, asymmetric-key algorithm]
-
A.
cryptographicModel
Indicates a relationship where one entity serves as, or is based on, a particular cryptographic scheme, framework, or formal model.
-
B.
algorithmType
chosen
Indicates the specific kind or category of algorithm associated with an entity or process.
-
C.
canBeEncryptedUsing
Indicates that one entity is capable of being transformed into a secure, encoded form by applying the encryption method or key represented by another entity.
-
D.
hasCrypt
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
-
E.
cipherCategory
Indicates that one item is classified as a type or category of cipher to which the other item belongs.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.