Triple
T5156403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC6 |
E116319
|
entity |
| Predicate | defaultKeyBytes |
P32227
|
FINISHED |
| Object | 16 bytes |
—
|
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: 16 bytes | Statement: [RC6, defaultKeyBytes, 16 bytes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultKeyBytes Context triple: [RC6, defaultKeyBytes, 16 bytes]
-
A.
recommendedKeyLength
chosen
Indicates the suggested or optimal length that a cryptographic key should have for secure use in a given context.
-
B.
keyType
Indicates the classification or category of a key in relation to how it is used or defined within a system or context.
-
C.
cipherKey
Indicates that one entity serves as the cryptographic key used to encrypt or decrypt information associated with another entity.
-
D.
keyClass
Indicates that one class functions as the primary or identifying class associated with another entity or structure.
-
E.
keyDerivation
Indicates that one cryptographic key is generated or derived from another key or base secret using a specific derivation process.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.