Triple
T33007489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCPOFFER |
E844548
|
entity |
| Predicate | containsLeaseParameters |
P201539
|
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: [DHCPOFFER, containsLeaseParameters, IP address]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLeaseParameters Context triple: [DHCPOFFER, containsLeaseParameters, IP address]
-
A.
wasLeasedFor
Indicates that one entity was leased in exchange for a specified payment amount, purpose, or consideration.
-
B.
hasLessee
Indicates that one entity is the lessee (the party renting or leasing) in a lease relationship with another entity.
-
C.
isPrivatelyLeased
Indicates that an entity is under a lease agreement held by a private (non-governmental) party rather than being publicly owned or leased.
-
D.
hasParameterization
Indicates that one entity serves as the specific parameterization or parameter-setting scheme used to define or configure another entity.
-
E.
licenseEnforced
Indicates that a license’s terms or restrictions are actively applied and upheld in relation to the associated entity or activity.
- 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_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
| PDg | Predicate description generation | batch_6a00037aff7c8190940bd1b02cec8c57 |
completed | May 10, 2026, 4:03 a.m. |
Created at: May 1, 2026, 1:23 a.m.