Triple
T34541831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arptables |
E886824
|
entity |
| Predicate | dataPlaneScope |
P79285
|
FINISHED |
| Object | local host ARP traffic |
—
|
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: local host ARP traffic | Statement: [arptables, dataPlaneScope, local host ARP traffic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataPlaneScope Context triple: [arptables, dataPlaneScope, local host ARP traffic]
-
A.
dataPlaneProxy
Indicates that one entity functions as a data-plane proxy that forwards or mediates traffic or data on behalf of another entity.
-
B.
dataPlaneType
chosen
Indicates the type or category of data plane through which data traffic or operations are carried out in a system or network.
-
C.
routeNetworkScope
Indicates the extent or coverage within a route network to which a given relationship, rule, or operation applies.
-
D.
routingDomainScope
Indicates the specific routing domain or context within which a route, policy, or network configuration is valid or applied.
-
E.
protocolScope
Indicates that one entity defines or constrains the contextual scope within which a particular protocol, procedure, or set of interaction rules applies to 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff6a6d48190b84bd9e1cc217e70 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.