Triple
T25243318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Værnes Air Station |
E632527
|
entity |
| Predicate | hasNATOInfrastructure |
P72372
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Værnes Air Station, hasNATOInfrastructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNATOInfrastructure Context triple: [Værnes Air Station, hasNATOInfrastructure, yes]
-
A.
hasNATOContext
Indicates that something is related to, influenced by, or situated within the context of NATO, its activities, policies, or structures.
-
B.
hasNATOCompatibleSystems
chosen
Indicates that an entity possesses systems or equipment that are compatible with NATO standards and can interoperate with NATO forces.
-
C.
hasMilitaryBase
Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
-
D.
isNATOExternalBorder
Indicates that a location or boundary lies on the outer edge of NATO territory, forming part of NATO’s external border with non-member areas.
-
E.
associatedWithNATO
Indicates a relationship in which an entity has a formal or recognized connection, affiliation, or involvement with NATO.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 1:10 p.m.