Triple
T30142710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen emissions scandal |
E766169
|
entity |
| Predicate | affectedVehicleGeneration |
P109378
|
FINISHED |
| Object | certain generations of Volkswagen diesel models |
—
|
LITERAL FINISHED |
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: certain generations of Volkswagen diesel models | Statement: [Volkswagen emissions scandal, affectedVehicleGeneration, certain generations of Volkswagen diesel models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedVehicleGeneration Context triple: [Volkswagen emissions scandal, affectedVehicleGeneration, certain generations of Volkswagen diesel models]
-
A.
basedOnCarGeneration
Indicates that one car is derived from, designed according to, or otherwise based on the generation or model series of another car.
-
B.
affectedCars
Indicates that certain cars are impacted or influenced by a particular event, condition, or action.
-
C.
vehicleGeneration
Indicates the generational version or iteration of a vehicle within a model line or series.
-
D.
carGeneration
chosen
Indicates the specific model generation or version of a car within its production lineage.
-
E.
resultedInVehicleVariant
Indicates that one event, process, or action led to the creation or emergence of a specific variant of a vehicle.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 7:18 p.m.