Triple
T36553574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH KEXINIT message |
E901637
|
entity |
| Predicate | messageNameInRFC4253 |
P185845
|
FINISHED |
| Object | SSH_MSG_KEXINIT |
—
|
NE NERFINISHED |
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: SSH_MSG_KEXINIT | Statement: [SSH KEXINIT message, messageNameInRFC4253, SSH_MSG_KEXINIT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: messageNameInRFC4253 Context triple: [SSH KEXINIT message, messageNameInRFC4253, SSH_MSG_KEXINIT]
-
A.
MIMEName
Indicates the standardized MIME (Multipurpose Internet Mail Extensions) type name associated with a given entity, specifying its media type and subtype for content identification.
-
B.
protocolName
Indicates the specific communication or interaction protocol used or associated with an entity or connection.
-
C.
messageLengthSymbol
Indicates that a symbolic representation is used to denote or categorize the length of a message.
-
D.
commonName
Indicates that one entity is the commonly used or vernacular name by which the other entity is known.
-
E.
messageSpace
Indicates a relationship where one entity provides or occupies a space or channel through which messages can be sent, stored, or exchanged between parties.
- 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_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.