Triple
T26409180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCM |
E663912
|
entity |
| Predicate | usesEncryptionMode |
P76803
|
FINISHED |
| Object | counter mode |
—
|
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: counter mode | Statement: [CCM, usesEncryptionMode, counter mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEncryptionMode Context triple: [CCM, usesEncryptionMode, counter mode]
-
A.
usesEncryptionAlgorithm
Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
-
B.
encryptionModeSupport
chosen
Indicates that an entity supports or is compatible with a specified mode of encryption.
-
C.
requiresEncryption
Indicates that one entity must use encryption when communicating with, storing data for, or otherwise interacting with another entity.
-
D.
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.
-
E.
dataIsEncrypted
Indicates that the referenced data is stored or transmitted in an encrypted form rather than in plaintext.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 11:37 p.m.