Triple
T38221973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embraer 120 Brasilia |
E1012034
|
entity |
| Predicate | typicalCruiseSpeed_knots |
—
|
GENERATED |
| Object | 300 |
—
|
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: typicalCruiseSpeed_knots Context triple: [Embraer 120 Brasilia, typicalCruiseSpeed_knots, 300]
-
A.
cruiseSpeed
chosen
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
B.
cruiseMachNumber
Indicates the Mach number at which an aircraft typically cruises during normal operation.
-
C.
supercruiseSpeed
Indicates the speed at which an aircraft or vehicle can sustain supersonic flight without using afterburners or additional boost.
-
D.
speedComparedToOtherShips
Indicates how the speed of one ship compares to the speed of other ships.
-
E.
stallSpeed
Indicates the minimum speed at which an aircraft (or similar vehicle) can fly while still maintaining sufficient lift to avoid stalling.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.