Triple
T21091646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIP |
E519651
|
entity |
| Predicate | administrativeDistance |
P64016
|
FINISHED |
| Object | 120 (Cisco default) |
—
|
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: 120 (Cisco default) | Statement: [RIP, administrativeDistance, 120 (Cisco default)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeDistance Context triple: [RIP, administrativeDistance, 120 (Cisco default)]
-
A.
administrativeDistanceCisco
chosen
Indicates the administrative preference value Cisco devices assign to a route source to determine its priority in route selection.
-
B.
routingProtocol
Indicates that one entity uses, implements, or is associated with a specific routing protocol to determine paths for forwarding data in a network.
-
C.
networkImportance
Indicates the degree to which an entity plays a critical or influential role within a network’s structure or functioning.
-
D.
formerDistance
Indicates that a distance or spatial separation between entities existed in the past but no longer holds in the present.
-
E.
primaryDistance
Indicates the main or most significant measure of distance between two entities in the relationship.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.