Triple
T29448112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSeries |
E746904
|
entity |
| Predicate | typicalSeatingCS300 |
—
|
GENERATED |
| Object | 130–150 passengers |
—
|
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: typicalSeatingCS300 Context triple: [CSeries, typicalSeatingCS300, 130–150 passengers]
-
A.
typicalSeat
Indicates the usual or standard seating position or location associated with an entity in a given context.
-
B.
hasSeating
chosen
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
C.
coSeatIn
Indicates that two or more entities share the same seat or seating location at the same time.
-
D.
thirdPlaceSeatCount
Indicates the number of seats allocated to the entity that finished in third place in a given ranking or competition.
-
E.
seatingConfiguration
Indicates how seats are arranged or organized relative to each other in a given context.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 28, 2026, 3:29 p.m.