Triple
T2113661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH_MSG_USERAUTH_SUCCESS |
E42558
|
entity |
| Predicate | hasMessageNumber |
P34867
|
FINISHED |
| Object | 52 |
—
|
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: 52 | Statement: [SSH_MSG_USERAUTH_SUCCESS, hasMessageNumber, 52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMessageNumber Context triple: [SSH_MSG_USERAUTH_SUCCESS, hasMessageNumber, 52]
-
A.
hasMessageSender
Indicates that one entity is the sender or originator of a given message.
-
B.
hasFirstRecipient
Indicates that an entity is the initial or primary recipient of something (such as a message, award, or transfer) in a sequence or set of recipients.
-
C.
hasVersionNumber
Indicates that an entity is associated with a specific version identifier or number.
-
D.
hasCanonicalNumber
Indicates that an entity is associated with its officially recognized or standard reference number.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb05b51c81908a78c816f492c45c |
completed | March 7, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:43 p.m.