Triple
T10049963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCPDISCOVER |
E207719
|
entity |
| Predicate | relatedMessageType |
P91832
|
FINISHED |
| Object | DHCPOFFER |
—
|
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: DHCPOFFER | Statement: [DHCPDISCOVER, relatedMessageType, DHCPOFFER]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedMessageType Context triple: [DHCPDISCOVER, relatedMessageType, DHCPOFFER]
-
A.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
B.
relatedLetter
Indicates that one letter has a specified connection or association to another letter.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
relayType
Indicates the specific kind or category of relay mechanism or configuration used in a system or connection.
-
E.
relatedExchange
Indicates that there is a connection or association between two exchanges or exchange-related events.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.