Triple
T16763351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesel station |
E407400
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Oberhausen Hauptbahnhof |
E1135382
|
NE FINISHED |
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: Oberhausen Hauptbahnhof | Statement: [Wesel station, connectsWith, Oberhausen Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberhausen Hauptbahnhof Context triple: [Wesel station, connectsWith, Oberhausen Hauptbahnhof]
-
A.
Oberhausen Hauptbahnhof
chosen
Oberhausen Hauptbahnhof is the main railway station and central transport hub of the city of Oberhausen in North Rhine-Westphalia, Germany.
-
B.
Duisburg-Rheinhausen station
Duisburg-Rheinhausen station is a railway station in the Duisburg district of Rheinhausen in western Germany, serving regional passenger traffic on the Lower Rhine rail network.
-
C.
Osnabrück Hauptbahnhof
Osnabrück Hauptbahnhof is the main railway station and central transport hub of the city of Osnabrück in Lower Saxony, Germany.
-
D.
Wuppertal Hauptbahnhof
Wuppertal Hauptbahnhof is the main railway station and central transport hub of the city of Wuppertal in western Germany.
-
E.
Duisburg Hauptbahnhof
Duisburg Hauptbahnhof is the central railway station and major transportation hub serving the city of Duisburg in western Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.