Triple
T18968988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin Nikolassee station |
E464114
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object | Berlin Schlachtensee station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Berlin Schlachtensee station | Statement: [Berlin Nikolassee station, hasAdjacentStation, Berlin Schlachtensee station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Schlachtensee station Context triple: [Berlin Nikolassee station, hasAdjacentStation, Berlin Schlachtensee station]
-
A.
Berlin Gesundbrunnen station
Berlin Gesundbrunnen station is a major railway and public transport hub in Berlin, Germany, serving regional, long-distance, and urban transit lines.
-
B.
Berlin Waidmannslust station
Berlin Waidmannslust station is a suburban railway station in Berlin’s Waidmannslust district, serving as a stop on the city’s S-Bahn network.
-
C.
Berlin-Wilhelmsruh station
Berlin-Wilhelmsruh station is a railway station in Berlin serving the Wilhelmsruh locality and connecting it to the wider city rail network.
-
D.
Berlin-Tempelhof station
Berlin-Tempelhof station is a transport hub in Berlin that combines regional and S-Bahn rail services and connects with the nearby Tempelhof U-Bahn station.
-
E.
Berlin-Wittenau station
Berlin-Wittenau station is a public transport hub in Berlin that serves the Wittenau locality with connections to the city’s S-Bahn and U-Bahn networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berlin Schlachtensee station Target entity description: Berlin Schlachtensee station is a suburban railway stop in southwestern Berlin serving the S-Bahn network near the Schlachtensee lake.
-
A.
Berlin Gesundbrunnen station
Berlin Gesundbrunnen station is a major railway and public transport hub in Berlin, Germany, serving regional, long-distance, and urban transit lines.
-
B.
Berlin Waidmannslust station
Berlin Waidmannslust station is a suburban railway station in Berlin’s Waidmannslust district, serving as a stop on the city’s S-Bahn network.
-
C.
Berlin-Wilhelmsruh station
Berlin-Wilhelmsruh station is a railway station in Berlin serving the Wilhelmsruh locality and connecting it to the wider city rail network.
-
D.
Berlin-Tempelhof station
Berlin-Tempelhof station is a transport hub in Berlin that combines regional and S-Bahn rail services and connects with the nearby Tempelhof U-Bahn station.
-
E.
Berlin-Wittenau station
Berlin-Wittenau station is a public transport hub in Berlin that serves the Wittenau locality with connections to the city’s S-Bahn and U-Bahn networks.
- F. None of above. chosen
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d618e2ec8190848a41733e6db2f1 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon