Triple
T5768280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDES |
E127264
|
entity |
| Predicate | deploymentTrend |
P39078
|
FINISHED |
| Object | being replaced by DTLS-SRTP in modern systems |
—
|
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: being replaced by DTLS-SRTP in modern systems | Statement: [SDES, deploymentTrend, being replaced by DTLS-SRTP in modern systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deploymentTrend Context triple: [SDES, deploymentTrend, being replaced by DTLS-SRTP in modern systems]
-
A.
deploys
Indicates the action of strategically placing or releasing something into operation or use, often in a specific context or location.
-
B.
deploymentType
Indicates the manner or configuration in which a system, application, or component is deployed or made operational.
-
C.
deploymentSpeed
Indicates how quickly a system, application, or component can be deployed from a ready state into a functioning production or target environment.
-
D.
deploymentConcept
Indicates that one entity represents a concept, model, or plan that guides or defines how another entity is deployed or put into operation.
-
E.
trends
chosen
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.