Triple
T10049930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCPDISCOVER |
E207719
|
entity |
| Predicate | usesDestinationPort |
P11580
|
FINISHED |
| Object | 67 |
—
|
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: 67 | Statement: [DHCPDISCOVER, usesDestinationPort, 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesDestinationPort Context triple: [DHCPDISCOVER, usesDestinationPort, 67]
-
A.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
-
B.
usedOnPort
chosen
Indicates that something is applied, connected, or operates specifically on a given port.
-
C.
refersToPort
Indicates that one entity designates, points to, or is associated with a specific port (such as a network, hardware, or logical port).
-
D.
usedPort
Indicates that a particular port (such as a network or hardware interface) is or has been utilized by an entity for communication or connection.
-
E.
hasPrivateDestination
Indicates that an entity is associated with a destination that is not publicly accessible or is intended for restricted/private use.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.