Triple
T25708725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkspolizei |
E644669
|
entity |
| Predicate | usedVehicleModel |
P159190
|
FINISHED |
| Object | Wartburg patrol cars |
—
|
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: Wartburg patrol cars | Statement: [Volkspolizei, usedVehicleModel, Wartburg patrol cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedVehicleModel Context triple: [Volkspolizei, usedVehicleModel, Wartburg patrol cars]
-
A.
carModel
Indicates the specific model designation of a car within a particular make or brand.
-
B.
vehicleUsed
Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
-
C.
vehicleName
Indicates the specific name or designation assigned to a vehicle.
-
D.
usedAsVehicleFor
Indicates that one entity functions as a means of transportation or conveyance for another entity.
-
E.
producedVehicle
Indicates that one entity manufactured or created a particular vehicle.
- F. None of above. chosen
Provenance (4 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc1385c4819082eff6432380dd2c |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 9:08 p.m.