Triple
T9818139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 1655 |
E238459
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | SMIv2 |
E185715
|
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: SMIv2 | Statement: [RFC 1655, uses, SMIv2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMIv2 Context triple: [RFC 1655, uses, SMIv2]
-
A.
SMIv2
chosen
SMIv2 is a standardized data definition language used to describe and structure management information for network devices in SNMP-based network management systems.
-
B.
SMIv1
SMIv1 is the original Structure of Management Information standard that defines the syntax and rules for organizing and describing management data in SNMP MIBs.
-
C.
SNMPv2-SMI
SNMPv2-SMI is the Structure of Management Information specification for SNMPv2, defining the rules and data types used to describe and organize management information in network management systems.
-
D.
SMI
SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
-
E.
SMI
SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f5bfa481908a2d2cb3f3d7d585 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc70d1188190820a49766699b94a |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:31 p.m.