Triple
T26399148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VRRP |
E663651
|
entity |
| Predicate | usesMACAddressRange |
P88743
|
FINISHED |
| Object | 00-00-5E-00-01-XX |
—
|
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: 00-00-5E-00-01-XX | Statement: [VRRP, usesMACAddressRange, 00-00-5E-00-01-XX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMACAddressRange Context triple: [VRRP, usesMACAddressRange, 00-00-5E-00-01-XX]
-
A.
usesMAC
chosen
Indicates that one entity employs or operates another entity via its Media Access Control (MAC) address or MAC-based mechanism.
-
B.
learnsMACAddressesFrom
Indicates that one entity discovers or acquires knowledge of MAC addresses from another entity.
-
C.
isUniqueWithinNetwork
Indicates that an entity exists as a single, non-duplicated instance within the specified network scope.
-
D.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
-
E.
supportsCIDR
Indicates that one entity is capable of handling, interpreting, or operating with CIDR (Classless Inter-Domain Routing) notation or functionality in relation 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 26, 2026, 11:30 p.m.