Triple
T12600386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuppertal-Barmen station |
E300840
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Hagen Hauptbahnhof |
E970766
|
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: Hagen Hauptbahnhof | Statement: [Wuppertal-Barmen station, connectsTo, Hagen Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagen Hauptbahnhof Context triple: [Wuppertal-Barmen station, connectsTo, Hagen Hauptbahnhof]
-
A.
Hagen Hauptbahnhof
chosen
Hagen Hauptbahnhof is the main railway station and central transport hub of the city of Hagen in North Rhine-Westphalia, Germany.
-
B.
Hamm Hauptbahnhof
Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
-
C.
Hannover Hauptbahnhof
Hannover Hauptbahnhof is the main central railway station of Hanover, Germany, serving as a major national and international transport hub.
-
D.
Essen Hauptbahnhof
Essen Hauptbahnhof is the central railway station of Essen, Germany, serving as a major regional and long-distance transport hub in the Rhine-Ruhr metropolitan area.
-
E.
Bonn Hauptbahnhof
Bonn Hauptbahnhof is the central railway station of Bonn, Germany, serving as a key regional and long-distance transport hub with extensive connections across the Rhine-Ruhr area and beyond.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66869c0b08190b13bcebbe354cd98 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:09 p.m.