Triple
T8714860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marienplatz U-Bahn station |
E206868
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Munich U-Bahn station |
C24945
|
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: Munich U-Bahn station Context triple: [Marienplatz U-Bahn station, instanceOf, Munich U-Bahn station]
-
A.
Nuremberg U-Bahn station
A Nuremberg U-Bahn station is an underground or partially underground public transit facility in Nuremberg, Germany, where passengers access, board, and transfer between Nuremberg U-Bahn trains and related services.
-
B.
Berlin U-Bahn station
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.
-
C.
Frankfurt U-Bahn station
A Frankfurt U-Bahn station is an underground or surface-level transit facility in Frankfurt am Main where passengers access, board, and transfer between urban metro trains on the city's U-Bahn network.
-
D.
Stockholm metro station
A Stockholm metro station is a designated stop within Stockholm's rapid transit system where passengers can board, alight, and transfer between metro trains, often featuring distinctive architectural or artistic designs.
-
E.
Rhaetian Railway station
A Rhaetian Railway station is a designated stop or terminal along the Rhaetian Railway network in Switzerland, providing passenger access, boarding, alighting, and related rail services on its regional and scenic routes.
- F. None of above. chosen
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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.