Triple
T9247264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2 standards suite |
E222227
|
entity |
| Predicate | definesPDU |
P66300
|
FINISHED |
| Object | GetNextRequest |
E184122
|
NE 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: GetNextRequest | Statement: [SNMPv2 standards suite, definesPDU, GetNextRequest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GetNextRequest Context triple: [SNMPv2 standards suite, definesPDU, GetNextRequest]
-
A.
GetNext
chosen
GetNext is an SNMP protocol operation used to sequentially retrieve the next variable in a management information base (MIB) tree for network management.
-
B.
GetRequest
GetRequest is a standard single-item retrieval operation or message type commonly used in APIs or network protocols to request a specific resource or piece of data.
-
C.
We Get Requests
We Get Requests is a 1964 jazz album by the Oscar Peterson Trio, celebrated for its sophisticated interpretations of popular tunes and Ray Brown’s exemplary double bass work.
-
D.
Next
Next is a major British multinational clothing, footwear, and home products retailer known for its extensive high-street and online presence.
-
E.
Next
Next is a work by British author David Tattersall, recognized as one of his notable contributions to contemporary literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f55a848190a59e7087cc07f6ef |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077f79cfc81908bae290aa25cf2a1 |
completed | April 4, 2026, 2:31 a.m. |
Created at: March 30, 2026, 7:31 p.m.