Triple
T36553551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PPP over Secure Shell (SSH) |
E901636
|
entity |
| Predicate | configurationAspect |
P186043
|
FINISHED |
| Object | PPP is run over a pseudo-terminal or SSH tunnel |
—
|
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: PPP is run over a pseudo-terminal or SSH tunnel | Statement: [PPP over Secure Shell (SSH), configurationAspect, PPP is run over a pseudo-terminal or SSH tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationAspect Context triple: [PPP over Secure Shell (SSH), configurationAspect, PPP is run over a pseudo-terminal or SSH tunnel]
-
A.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
B.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
C.
configurationClass
Indicates that one entity serves as the configuration class (i.e., a class defining configuration settings or parameters) for another entity.
-
D.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
E.
testsAspect
Indicates that one entity evaluates, examines, or assesses a particular aspect, feature, or dimension of another entity.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.