Triple
T29369149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2-MIB |
E744805
|
entity |
| Predicate | definesObject |
P190050
|
FINISHED |
| Object | sysDescr |
—
|
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: sysDescr | Statement: [SNMPv2-MIB, definesObject, sysDescr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesObject Context triple: [SNMPv2-MIB, definesObject, sysDescr]
-
A.
definesEntity
Indicates that one entity specifies, determines, or establishes the identity, nature, or boundaries of another entity.
-
B.
designedObject
Indicates that one entity is the creator or designer of another entity as its intended product or outcome.
-
C.
definesType
Indicates that one entity specifies or establishes the type or classification of another entity.
-
D.
definesElement
Indicates that one entity specifies or determines the nature, structure, or identity of another entity as its defining element.
-
E.
definesSymbol
Indicates that one entity specifies or establishes another entity as a symbol representing some concept, value, or object.
- 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: April 28, 2026, 2:25 p.m.