Triple
T23798346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halensee |
E588599
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | train station in Berlin |
C13055
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: train station in Berlin Context triple: [Halensee, instanceOf, train station in Berlin]
-
A.
Berlin U-Bahn station
chosen
A Berlin U-Bahn station is an underground or elevated public transit facility in Berlin that serves as a stop for the city’s metro trains, providing passenger access, ticketing, and connections to other transport modes.
-
B.
Berlin U-Bahn facility
A Berlin U-Bahn facility is any physical structure, station, depot, or related infrastructure element that supports the operation, maintenance, or use of Berlin’s underground rapid transit system.
-
C.
Hamburg U-Bahn station
A Hamburg U-Bahn station is a designated stop or terminal along Hamburg’s urban rapid transit network, providing platforms, access facilities, and passenger services for boarding and alighting U-Bahn trains.
-
D.
Munich U-Bahn station
A Munich U-Bahn station is an underground or surface-level transit facility in Munich’s rapid transit network where passengers access, board, and transfer between U-Bahn trains.
-
E.
Stuttgart S-Bahn station
A Stuttgart S-Bahn station is a railway facility within the Stuttgart metropolitan area that serves as a stop or terminus for the Stuttgart S-Bahn rapid transit network, providing passenger access, boarding, and transfers between urban and regional rail services.
- F. None of above.
Provenance (1 batch)
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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 7:51 p.m.