Triple
T6548113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterlooplein metro station |
E151061
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Amsterdam Metro station |
C21558
|
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: Amsterdam Metro station Context triple: [Waterlooplein metro station, instanceOf, Amsterdam Metro station]
-
A.
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.
-
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.
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.
-
D.
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.
-
E.
Oslo Metro station
An Oslo Metro station is a designated stop along the Oslo Metro network where trains load and unload passengers, typically featuring platforms, ticketing facilities, signage, and connections to other modes of public transport.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
Created at: March 27, 2026, 1:51 p.m.