Triple
T33007563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCP relay agent |
E844550
|
entity |
| Predicate | forwardsMessageType |
P175905
|
FINISHED |
| Object | DHCPDISCOVER |
—
|
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: DHCPDISCOVER | Statement: [DHCP relay agent, forwardsMessageType, DHCPDISCOVER]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forwardsMessageType Context triple: [DHCP relay agent, forwardsMessageType, DHCPDISCOVER]
-
A.
forwardsMessagesWhen
Indicates that one entity transmits or relays messages to another entity whenever a specified condition or time is met.
-
B.
precedesMessageType
Indicates that one message type must occur or be processed before another specified message type.
-
C.
numberOfForwards
Indicates the count of times something (such as a message, document, or item) has been forwarded from one entity to others.
-
D.
relatedMessageType
Indicates that one message is associated with another by specifying the type or category of that related message.
-
E.
definesMessageType
Indicates that one entity specifies or determines the message type classification or category for another entity.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.