Triple
T12515587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DSA |
E299183
|
entity |
| Predicate | keySizeRange |
P77466
|
FINISHED |
| Object | 1024–3072 bits |
—
|
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: 1024–3072 bits | Statement: [DSA, keySizeRange, 1024–3072 bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keySizeRange Context triple: [DSA, keySizeRange, 1024–3072 bits]
-
A.
privateKeySize
Indicates the size or length of a private key used in a cryptographic relationship or operation.
-
B.
nominalKeySize
chosen
Indicates the standard or designated size value associated with a key in a cryptographic or data structure context.
-
C.
supportsKeyLength
Indicates that one entity is capable of handling, accepting, or operating with a specified cryptographic key length associated with another entity.
-
D.
recommendedKeyLength
Indicates the suggested or optimal length that a cryptographic key should have for secure use in a given context.
-
E.
keySpaceSize
Indicates the total number of distinct keys that can exist within a given key space or key domain.
- 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.