Triple
T33652741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU-GAP |
E862140
|
entity |
| Predicate | originatingAirportOnAccidentFlight |
—
|
GENERATED |
| Object | Los Angeles International Airport |
—
|
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: originatingAirportOnAccidentFlight Context triple: [SU-GAP, originatingAirportOnAccidentFlight, Los Angeles International Airport]
-
A.
originAirportAtTimeOfCrash
Indicates the airport from which an aircraft departed at the specific time when the crash occurred.
-
B.
accidentAirport
Indicates the airport at which an accident involving the subject entity occurred.
-
C.
destinationAirportAtTimeOfCrash
Indicates the airport that was the intended destination of a flight at the time the crash occurred.
-
D.
originAirportICAO
Indicates the airport, identified by its ICAO code, from which a flight or journey departs.
-
E.
hasOriginAirport
chosen
Indicates that something, typically a flight or journey, departs from or is associated with a specific origin airport.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:42 a.m.