Triple
T35419736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Skiles |
E1023747
|
entity |
| Predicate | numberOfFatalitiesOnNotableFlight |
—
|
GENERATED |
| Object | 0 |
—
|
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: numberOfFatalitiesOnNotableFlight Context triple: [Jeffrey Skiles, numberOfFatalitiesOnNotableFlight, 0]
-
A.
numberOfUSFatalities
Indicates the number of people who died in the United States as a result of the specified event or circumstance.
-
B.
aircraftInvolvedInDeath
Indicates that an aircraft played a direct role in causing or contributing to a person's death.
-
C.
numberOfDeathsInNotableEvent
Indicates the total count of deaths that occurred as a result of a specified notable event.
-
D.
aircraftAccident
Indicates that an event involves an aircraft experiencing an accident, such as a crash, collision, or serious malfunction during operation.
-
E.
fatalitiesOnboard
chosen
Indicates that the relationship specifies the number of people who died among those present on a particular vehicle or craft.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.