Triple
T38407676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BGA |
E901380
|
entity |
| Predicate | relatedToAircraftType |
—
|
GENERATED |
| Object | Airbus Beluga |
—
|
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: relatedToAircraftType Context triple: [BGA, relatedToAircraftType, Airbus Beluga]
-
A.
relatesToAircraft
Indicates a general relationship or association between an entity and an aircraft, without specifying the exact nature of that connection.
-
B.
associatedWithAircraftModel
chosen
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
C.
relatedAircraft
Indicates that there is an association or connection between two aircraft, such as operational, functional, or contextual relatedness.
-
D.
associatedWithCarrierAircraft
Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
-
E.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.