Triple
T28687562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2p |
E729176
|
entity |
| Predicate | securityModelComparedToSNMPv1 |
P32151
|
FINISHED |
| Object | stronger but more complex |
—
|
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: stronger but more complex | Statement: [SNMPv2p, securityModelComparedToSNMPv1, stronger but more complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityModelComparedToSNMPv1 Context triple: [SNMPv2p, securityModelComparedToSNMPv1, stronger but more complex]
-
A.
securityModelIdentifier
Indicates the specific security model or framework under which an entity, interaction, or policy is defined or governed.
-
B.
securityModelAbbreviation
Indicates that one entity is the standard or commonly used abbreviated form of the name or identifier of a particular security model.
-
C.
securityModelSimilarTo
chosen
Indicates that one entity’s security model is similar or comparable to that of another entity.
-
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.
cryptographicModel
Indicates a relationship where one entity serves as, or is based on, a particular cryptographic scheme, framework, or formal model.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 5:33 a.m.