Triple
T30442466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo (Narita) – Hong Kong |
E774486
|
entity |
| Predicate | typicalPassengerClass |
—
|
GENERATED |
| Object | economy class |
—
|
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: typicalPassengerClass Context triple: [Tokyo (Narita) – Hong Kong, typicalPassengerClass, economy class]
-
A.
airlineClass
Indicates the specific travel class or service level assigned to a passenger or ticket on an airline flight.
-
B.
passengerLevel
Indicates the relative status, class, or priority assigned to a passenger within a transportation or service context.
-
C.
seatClass
chosen
Indicates the travel or seating category assigned to a passenger or seat (e.g., economy, business, first class).
-
D.
amenityLevelComparedToBusinessClass
Indicates how the level of amenities provided compares to those offered in business class.
-
E.
cabinClassAbove
Indicates that one cabin class is ranked higher or more premium than another in a class hierarchy.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:08 p.m.