Triple
T35779826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 747-400F |
E1034405
|
entity |
| Predicate | typicalMainDeckCargoVolume |
—
|
GENERATED |
| Object | approximately 30 pallet positions |
—
|
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: typicalMainDeckCargoVolume Context triple: [Boeing 747-400F, typicalMainDeckCargoVolume, approximately 30 pallet positions]
-
A.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
-
B.
cargoHoldVolume
chosen
Indicates the total internal volume available within a cargo hold for storing goods or materials.
-
C.
hasMainBulkCargoPort
Indicates that an entity serves as the primary port used for handling bulk cargo for another entity.
-
D.
typicalReturnCargo
Indicates that something is the kind of cargo that is usually carried back on a return trip or journey.
-
E.
hasCargoHold
Indicates that something possesses a dedicated space or compartment for storing or transporting cargo.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.