Triple
T20643372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanover S-Bahn network |
E507285
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Paderborn Hauptbahnhof |
—
|
NE NERFINISHED |
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: Paderborn Hauptbahnhof | Statement: [Hanover S-Bahn network, hasStation, Paderborn Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paderborn Hauptbahnhof Context triple: [Hanover S-Bahn network, hasStation, Paderborn Hauptbahnhof]
-
A.
Paderborn Hauptbahnhof
chosen
Paderborn Hauptbahnhof is the main railway station and central transport hub serving the city of Paderborn in Germany.
-
B.
Bielefeld Hauptbahnhof
Bielefeld Hauptbahnhof is the main railway station and central transportation hub of the city of Bielefeld in Germany.
-
C.
Osnabrück Hauptbahnhof
Osnabrück Hauptbahnhof is the main railway station and central transport hub of the city of Osnabrück in Lower Saxony, Germany.
-
D.
Meppen station
Meppen station is a railway station in the town of Meppen in Lower Saxony, Germany, serving regional and long-distance passenger rail services.
-
E.
Bochum Hauptbahnhof
Bochum Hauptbahnhof is the main railway station and central transportation hub of the city of Bochum in Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1c51f48190abba54a5aace9fc8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.