Triple
T29369172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2-MIB |
E744805
|
entity |
| Predicate | containsUnderMIB2 |
P197320
|
FINISHED |
| Object | 1.3.6.1.2.1.1 |
—
|
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: 1.3.6.1.2.1.1 | Statement: [SNMPv2-MIB, containsUnderMIB2, 1.3.6.1.2.1.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsUnderMIB2 Context triple: [SNMPv2-MIB, containsUnderMIB2, 1.3.6.1.2.1.1]
-
A.
MIBenum
Indicates that one entity is assigned or associated with a specific value from a Management Information Base (MIB) enumeration.
-
B.
definesMIBFor
Indicates that one entity specifies or establishes the Management Information Base (MIB) used by another entity.
-
C.
hasMICType
Indicates that an entity is associated with a specific Market Identifier Code (MIC) classification type.
-
D.
isSubnetworkOf
Indicates that one network is a contained, subordinate, or component part of another, larger network.
-
E.
isMICFor
Indicates that one entity represents the minimum inhibitory concentration (MIC) value determined for another entity, typically a microorganism or drug.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fe87b609888190913b0c3f787ecdba |
completed | May 9, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69fe8731af48819092084f6f74bf052d |
completed | May 9, 2026, 1 a.m. |
| PDg | Predicate description generation | batch_69fe87b52bd4819087d6d338fe47c97c |
completed | May 9, 2026, 1:02 a.m. |
Created at: April 28, 2026, 2:25 p.m.