Triple
T270458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCP |
E5621
|
entity |
| Predicate | configures |
P2093
|
FINISHED |
| Object | IP address |
—
|
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: IP address | Statement: [DHCP, configures, IP address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configures Context triple: [DHCP, configures, IP address]
-
A.
configuration
chosen
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
B.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
C.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
D.
convenes
Indicates bringing people or groups together to formally meet, discuss, or deliberate on a particular matter.
-
E.
establishes
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.