Triple
T245108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.1AE |
E5019
|
entity |
| Predicate | encryptionMode |
P5656
|
FINISHED |
| Object | Galois/Counter Mode (GCM) |
—
|
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: Galois/Counter Mode (GCM) | Statement: [IEEE 802.1AE, encryptionMode, Galois/Counter Mode (GCM)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encryptionMode Context triple: [IEEE 802.1AE, encryptionMode, Galois/Counter Mode (GCM)]
-
A.
usesEncryptionAlgorithm
chosen
Indicates that one entity applies or relies on a specific encryption algorithm to protect data or communications.
-
B.
hasCrypt
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
-
C.
usesInitializationVectorLength
Indicates that an entity employs an initialization vector (IV) of a specified length in a cryptographic or security-related operation.
-
D.
securityType
Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
-
E.
keyManagementType
Indicates the method or scheme by which cryptographic keys are generated, stored, distributed, and controlled within a system or 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.