Triple
T29902243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BONDI |
E759439
|
entity |
| Predicate | primaryBaseCountryOfAirline |
—
|
GENERATED |
| Object | Argentina |
—
|
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: primaryBaseCountryOfAirline Context triple: [BONDI, primaryBaseCountryOfAirline, Argentina]
-
A.
airlineBaseProvince
Indicates that a given province serves as the primary base or home region for a particular airline.
-
B.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
C.
airportCountryCode
Indicates the country code associated with the airport in question.
-
D.
primaryReferenceCountry
Indicates the main country that serves as the primary point of reference or association for the related entity.
-
E.
linkedAirlineCountry
chosen
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:07 p.m.