Triple
T36553612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH KEXINIT message |
E901637
|
entity |
| Predicate | mayBeRepeated |
P79827
|
FINISHED |
| Object | yes, when rekeying |
—
|
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: yes, when rekeying | Statement: [SSH KEXINIT message, mayBeRepeated, yes, when rekeying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeRepeated Context triple: [SSH KEXINIT message, mayBeRepeated, yes, when rekeying]
-
A.
enablesRepeatedUse
Indicates that one entity provides the capability or conditions for another entity to be used multiple times without needing replacement or reset.
-
B.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
C.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
-
D.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
E.
safeToRepeat
chosen
Indicates that performing the same action or operation again under the current conditions is considered acceptable and will not cause harm or undesired effects.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:11 p.m.