Triple
T38290756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denton County Commissioner |
E1022354
|
entity |
| Predicate | numberOfSeatsOnBody |
—
|
GENERATED |
| Object | 4 |
—
|
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: numberOfSeatsOnBody Context triple: [Denton County Commissioner, numberOfSeatsOnBody, 4]
-
A.
definesNumberOfSeats
Indicates that an entity specifies or determines the total number of seats associated with another entity.
-
B.
seatCount
chosen
Indicates the number of seats associated with an entity, such as a venue, vehicle, or room.
-
C.
seatInBody
Indicates that something is positioned or installed within the main body or chassis of an object or structure.
-
D.
assemblySeatCount
Indicates the number of seats an entity holds in a legislative assembly.
-
E.
seatOnBody
Indicates that one entity functions as a seat or seating surface that is physically attached or integrated to a body or body-like structure.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.