Triple
T32623325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junkers W 33 Bremen |
E833987
|
entity |
| Predicate | firstTransatlanticCrossingFrom |
—
|
GENERATED |
| Object | Baldonnel Aerodrome, Ireland |
—
|
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: firstTransatlanticCrossingFrom Context triple: [Junkers W 33 Bremen, firstTransatlanticCrossingFrom, Baldonnel Aerodrome, Ireland]
-
A.
transatlanticCrossing
Indicates a journey or passage that crosses the Atlantic Ocean from one side to the other.
-
B.
firstNonStopTransatlanticFlightFrom
Indicates that the subject is the origin location of the first non-stop transatlantic flight associated with the object.
-
C.
totalTransatlanticCrossings
Indicates the number of times an entity has completed crossings across the Atlantic Ocean.
-
D.
firstTransatlanticFlightDate
Indicates the date on which an entity completed its first flight crossing the Atlantic Ocean.
-
E.
firstNonStopTransatlanticFlightTo
Indicates that the subject entity completed the first non-stop transatlantic flight whose destination was the object entity.
- F. None of above. chosen
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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:06 a.m.