Triple
T28807591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audi A4 B9 |
E727421
|
entity |
| Predicate | marketNameSedan |
P55902
|
FINISHED |
| Object | Audi A4 Sedan |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Audi A4 Sedan | Statement: [Audi A4 B9, marketNameSedan, Audi A4 Sedan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketNameSedan Context triple: [Audi A4 B9, marketNameSedan, Audi A4 Sedan]
-
A.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
B.
statusAfterSedan
Indicates the status or condition of an entity after it has been in a sedan or undergone a sedan-related event or process.
-
C.
automotiveSegment
Indicates a classification relationship where an automotive product, brand, or activity is assigned to a specific market or vehicle segment within the automotive industry.
-
D.
vehicleName
chosen
Indicates the specific name or designation assigned to a vehicle.
-
E.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
- F. None of above.
Provenance (3 batches)
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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 6:29 a.m.