Triple
T28929002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Type 3 |
E733728
|
entity |
| Predicate | stationWagonName |
P55902
|
FINISHED |
| Object | Volkswagen Variant |
—
|
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: Volkswagen Variant | Statement: [Volkswagen Type 3, stationWagonName, Volkswagen Variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationWagonName Context triple: [Volkswagen Type 3, stationWagonName, Volkswagen Variant]
-
A.
vehicleName
chosen
Indicates the specific name or designation assigned to a vehicle.
-
B.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
C.
starVehicleFor
Indicates that one entity serves as the primary or featured vehicle associated with another entity, such as a person, production, or event.
-
D.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
E.
testVehicleName
Indicates that an entity is used to test or validate the name assigned to 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 8:26 a.m.