Triple
T25243328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Værnes Air Station |
E632527
|
entity |
| Predicate | hasParkingAprons |
P40806
|
FINISHED |
| Object | military aircraft stands |
—
|
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: military aircraft stands | Statement: [Værnes Air Station, hasParkingAprons, military aircraft stands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParkingAprons Context triple: [Værnes Air Station, hasParkingAprons, military aircraft stands]
-
A.
hasParkingApron
chosen
Indicates that a location or facility includes a designated parking apron area for vehicles or aircraft.
-
B.
hasHelipads
Indicates that an entity possesses one or more helipads available for helicopter landing and takeoff.
-
C.
hasHangars
Indicates that one entity possesses or contains hangars used for housing aircraft or similar vehicles.
-
D.
hasHeliport
Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
-
E.
hasRunwayOrPad
Indicates that a location possesses a designated runway or launch/landing pad suitable for vehicle operations.
- 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 1:10 p.m.