Triple
T33604120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENRY |
E860800
|
entity |
| Predicate | associatedMilitaryOperator |
—
|
GENERATED |
| Object | Royal Norwegian Air Force |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMilitaryOperator Context triple: [ENRY, associatedMilitaryOperator, Royal Norwegian Air Force]
-
A.
hasMilitaryOperators
chosen
Indicates that a military force or organization operates, controls, or makes active use of the referenced asset, system, or equipment.
-
B.
relatedMilitaryUnit
Indicates that there is an association or connection between two military units, such as organizational, operational, or historical linkage.
-
C.
hasMilitaryAssociation
Indicates a relationship in which an entity is connected or affiliated with a military organization, activity, or function.
-
D.
militaryBranchAssociatedWith
Indicates a relationship where an entity is connected to, or operates as part of, a specific branch of a military organization.
-
E.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
- F. None of above.
Provenance (1 batch)
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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:41 a.m.