Triple
T7928323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetNext |
E184122
|
entity |
| Predicate | roleInSNMP |
P57746
|
FINISHED |
| Object | enables discovery of unknown MIB structure |
—
|
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: enables discovery of unknown MIB structure | Statement: [GetNext, roleInSNMP, enables discovery of unknown MIB structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSNMP Context triple: [GetNext, roleInSNMP, enables discovery of unknown MIB structure]
-
A.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
roleInProtocolStack
chosen
Indicates the specific function or position an entity occupies within a layered communication or protocol stack.
-
C.
configurationRole
Indicates the role or function an entity assumes within a particular configuration or setup.
-
D.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
E.
connectsRole
Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ac9ac4c819082cd2190fc3ce5a2 |
completed | March 31, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:07 p.m.