Triple
T33007486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCPOFFER |
E844548
|
entity |
| Predicate | occursInPhase |
P119999
|
FINISHED |
| Object | DHCP address allocation phase |
—
|
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: DHCP address allocation phase | Statement: [DHCPOFFER, occursInPhase, DHCP address allocation phase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occursInPhase Context triple: [DHCPOFFER, occursInPhase, DHCP address allocation phase]
-
A.
isPartOfPhase
chosen
Indicates that something belongs to, occurs within, or constitutes a component of a specific phase in a larger process or lifecycle.
-
B.
appliesToPhase
Indicates that a particular rule, condition, or action is relevant to and operates during a specific phase within a process or lifecycle.
-
C.
occursInProgram
Indicates that an event, action, or element takes place within or is contained in a specific program.
-
D.
occursFor
Indicates that an event, process, or condition takes place in relation to, or on behalf of, a particular entity or context.
-
E.
hasPhaseRelation
Indicates that two entities are related by a specific phase difference or phase alignment in time or a cyclical process.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:23 a.m.