Triple
T1649193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2c |
E35651
|
entity |
| Predicate | backwardsCompatibility |
P4635
|
FINISHED |
| Object | partial with SNMPv1 |
—
|
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: partial with SNMPv1 | Statement: [SNMPv2c, backwardsCompatibility, partial with SNMPv1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backwardsCompatibility Context triple: [SNMPv2c, backwardsCompatibility, partial with SNMPv1]
-
A.
backwardCompatibility
Indicates that one entity remains functional or compatible when used with an earlier version or older form of another entity.
-
B.
backwardCompatibleWith
chosen
Indicates that one entity can correctly interpret, use, or function with data, interfaces, or behavior designed for an earlier version of another entity.
-
C.
previousVersionAdopted
Indicates that one entity has been adopted or implemented as a successor to an earlier version represented by the other entity.
-
D.
compatibilityNote
Indicates that there is an explanatory note or comment about how well two entities are compatible or work together.
-
E.
notCompatibleWith
Indicates that two entities cannot function together properly or are unsuitable for joint use or interaction.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaa0fbe984819084f8daee81ca9b67 |
completed | March 6, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69a907ce4dd881909168a1e99505d4ec |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.