Triple
T8258084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMP over OSI |
E193119
|
entity |
| Predicate | lessCommonThan |
P19183
|
FINISHED |
| Object | SNMP over IP |
—
|
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: SNMP over IP | Statement: [SNMP over OSI, lessCommonThan, SNMP over IP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lessCommonThan Context triple: [SNMP over OSI, lessCommonThan, SNMP over IP]
-
A.
isLessCommonThan
chosen
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
B.
lessExclusiveThan
Indicates that one entity has a broader or more inclusive scope, membership, or applicability than another, which is more exclusive.
-
C.
smallerThan
Indicates that one entity has a strictly lesser size, dimension, or magnitude than another entity.
-
D.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
-
E.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78fce9308190ac36512e80b06b52 |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:49 p.m.