Triple
T2113680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSH_MSG_USERAUTH_SUCCESS |
E42558
|
entity |
| Predicate | triggersStateChange |
P693
|
FINISHED |
| Object | client enters authenticated state |
—
|
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: client enters authenticated state | Statement: [SSH_MSG_USERAUTH_SUCCESS, triggersStateChange, client enters authenticated state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triggersStateChange Context triple: [SSH_MSG_USERAUTH_SUCCESS, triggersStateChange, client enters authenticated state]
-
A.
triggerEvent
Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
-
B.
triggered
chosen
Indicates that one entity causes an event, action, or process involving another entity to start or occur.
-
C.
hasTriggerType
Indicates that an event, condition, or mechanism is associated with a specific type or category of trigger that initiates it.
-
D.
triggerCondition
Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
-
E.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
- 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_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. |
Created at: March 4, 2026, 7:43 p.m.