Triple
T37300556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zündapp KS 750 |
E925926
|
entity |
| Predicate | sidecarType |
P188938
|
FINISHED |
| Object | military sidecar with driven wheel |
—
|
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: military sidecar with driven wheel | Statement: [Zündapp KS 750, sidecarType, military sidecar with driven wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sidecarType Context triple: [Zündapp KS 750, sidecarType, military sidecar with driven wheel]
-
A.
supportsSidecar
Indicates that one entity is capable of running, integrating with, or otherwise accommodating a sidecar component alongside its primary process or service.
-
B.
riderType
Indicates the category or role of a rider in relation to a ride, transport service, or vehicle (e.g., passenger, driver, courier).
-
C.
sidecarDrive
Indicates that one entity is driving a motorcycle or similar vehicle while another entity is riding in its attached sidecar.
-
D.
sideType
Indicates the specific role or position an entity occupies within a two-sided or multi-sided relationship (e.g., buyer vs. seller, left vs. right side).
-
E.
rideType
Indicates the specific category or mode of transportation involved in a ride (e.g., standard, shared, premium).
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: May 3, 2026, 4:16 p.m.