Triple
T8461781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2-CONF |
E200056
|
entity |
| Predicate | language |
P15
|
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: [SNMPv2-CONF, language, SMIv2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMIv2 Context triple: [SNMPv2-CONF, language, 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.
SMI
SMI is the IATA airport code for Samos International Airport, the main air gateway to the Greek island of Samos.
-
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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a0ff4c8190b17bbd33db632cea |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88c89a9081908445bbc531f500c9 |
completed | April 2, 2026, 3:18 p.m. |
Created at: March 30, 2026, 6:10 p.m.