Triple
T35420295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW 435i Gran Coupé |
E1023764
|
entity |
| Predicate | numberOfDoorsDescription |
—
|
GENERATED |
| Object | four-door coupé with frameless doors |
—
|
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: numberOfDoorsDescription Context triple: [BMW 435i Gran Coupé, numberOfDoorsDescription, four-door coupé with frameless doors]
-
A.
numberOfDoors
Indicates the quantity of doors associated with an entity.
-
B.
hasDoors
Indicates that an object or structure possesses one or more doors.
-
C.
vehicleDoorType
chosen
Indicates the specific style or configuration of doors that a vehicle has.
-
D.
doorsPerSidePerCar
Indicates the number of doors on each side of each car in a vehicle or train.
-
E.
hasDoorsOperation
Indicates that an entity has a specific type or mode of operation for its doors (e.g., how they open, close, or are controlled).
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.