Triple
T2114182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AES-CTR |
E42568
|
entity |
| Predicate | supportsParallelDecryption |
P34877
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [AES-CTR, supportsParallelDecryption, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsParallelDecryption Context triple: [AES-CTR, supportsParallelDecryption, true]
-
A.
usesEncryptionAlgorithm
Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
-
B.
hasParallelTransit
Indicates that one transit route, service, or segment runs in parallel to another along a similar path or corridor.
-
C.
hasCrypt
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
-
D.
requiresEncryption
Indicates that one entity must use encryption when communicating with, storing data for, or otherwise interacting with another entity.
-
E.
canCrackEncryption
Indicates that an entity has the capability to break or bypass the encryption protecting another entity’s data or communications.
- F. None of above. chosen
Provenance (4 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb05b51c81908a78c816f492c45c |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:43 p.m.