Triple
T12142656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegen |
E289225
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Siegen Hauptbahnhof
Siegen Hauptbahnhof is the main railway station and central transport hub of the city of Siegen in Germany.
|
E964641
|
NE FINISHED |
How this triple was built (4 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: Siegen Hauptbahnhof | Statement: [Siegen, hasRailwayStation, Siegen Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siegen Hauptbahnhof Context triple: [Siegen, hasRailwayStation, Siegen Hauptbahnhof]
-
A.
Cologne Central Station
Cologne Central Station is the main railway hub of Cologne, Germany, serving as a major national and international transit point adjacent to the city’s famous cathedral.
-
B.
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.
-
C.
Wuppertal Hauptbahnhof
Wuppertal Hauptbahnhof is the main railway station and central transport hub of the city of Wuppertal in western Germany.
-
D.
Hamm Hauptbahnhof
Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
-
E.
Dortmund Hauptbahnhof
Dortmund Hauptbahnhof is the main railway station and central transportation hub of the city of Dortmund in Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Siegen Hauptbahnhof Triple: [Siegen, hasRailwayStation, Siegen Hauptbahnhof]
Generated description
Siegen Hauptbahnhof is the main railway station and central transport hub of the city of Siegen in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siegen Hauptbahnhof Target entity description: Siegen Hauptbahnhof is the main railway station and central transport hub of the city of Siegen in Germany.
-
A.
Cologne Central Station
Cologne Central Station is the main railway hub of Cologne, Germany, serving as a major national and international transit point adjacent to the city’s famous cathedral.
-
B.
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.
-
C.
Wuppertal Hauptbahnhof
Wuppertal Hauptbahnhof is the main railway station and central transport hub of the city of Wuppertal in western Germany.
-
D.
Hamm Hauptbahnhof
Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
-
E.
Dortmund Hauptbahnhof
Dortmund Hauptbahnhof is the main railway station and central transportation hub of the city of Dortmund in Germany.
- F. None of above. chosen
Provenance (5 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5ff815b748190932bfe163ea2847d |
completed | May 2, 2026, 1:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6018b4088819092b8b97089068fae |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 8, 2026, 9:49 p.m.