Triple
T1649186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMPv2c |
E35651
|
entity |
| Predicate | widelyDeployedIn |
P11801
|
FINISHED |
| Object | enterprise networks |
—
|
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: enterprise networks | Statement: [SNMPv2c, widelyDeployedIn, enterprise networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widelyDeployedIn Context triple: [SNMPv2c, widelyDeployedIn, enterprise networks]
-
A.
widelyUsedIn
chosen
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
B.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
C.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
D.
operatesInCountries
Indicates that an entity conducts its activities or business within the specified countries.
-
E.
prevalentIn
Indicates that something occurs frequently or is commonly found within a particular context, group, or environment.
- 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.