Triple
T38188650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto–Ottawa |
E1005389
|
entity |
| Predicate | hasMajorAirportAtTerminus |
—
|
GENERATED |
| Object | Toronto Pearson 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: hasMajorAirportAtTerminus Context triple: [Toronto–Ottawa, hasMajorAirportAtTerminus, Toronto Pearson International Airport]
-
A.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
B.
isMajorCargoAirport
Indicates that an airport primarily handles large volumes of cargo traffic and serves as a significant freight hub.
-
C.
isMajorRegionalAirportFor
Indicates that an airport serves as a primary or significant air travel hub for a particular region.
-
D.
hasPrimaryAirportRole
Indicates that an entity holds the main or principal functional role associated with an airport.
-
E.
isMainAirportStopFor
chosen
Indicates that a given airport serves as the primary or principal stop for a specified route, service, or transportation connection.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:29 p.m.