Triple
T35482781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BTR |
E1025510
|
entity |
| Predicate | associatedWithAirportAlternativeName |
—
|
GENERATED |
| Object | Ryan Field |
—
|
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: associatedWithAirportAlternativeName Context triple: [BTR, associatedWithAirportAlternativeName, Ryan Field]
-
A.
associatedWithAirportName
Indicates a relationship where an entity is linked or connected to a specific airport by its name.
-
B.
airportAlsoKnownAs
Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
-
C.
associatedAirport
chosen
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
-
D.
associatedAirportReplaced
Indicates that one airport in an association has been superseded or replaced by another airport.
-
E.
associatedWithAirportCode
Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.