Triple
T37929437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern League ballparks |
E946172
|
entity |
| Predicate | typicalSeatingType |
—
|
GENERATED |
| Object | outdoor seating |
—
|
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: typicalSeatingType Context triple: [Eastern League ballparks, typicalSeatingType, outdoor seating]
-
A.
typicalSeat
Indicates the usual or standard seating position or location associated with an entity in a given context.
-
B.
typicalSeatCount
Indicates the usual or standard number of seats associated with an entity.
-
C.
hasFlexibleSeating
Indicates that an entity provides seating arrangements that can be easily rearranged, adjusted, or reconfigured to suit different uses or preferences.
-
D.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
E.
seatingDirection
Indicates the orientation or facing direction in which an entity is seated relative to a reference point or object.
- F. None of above. chosen
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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.