Triple
T5924722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Würzburg |
E131778
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Würzburg Hauptbahnhof |
E182816
|
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: Würzburg Hauptbahnhof | Statement: [Würzburg, hasTransport, Würzburg Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Würzburg Hauptbahnhof Context triple: [Würzburg, hasTransport, Würzburg Hauptbahnhof]
-
A.
Würzburg Hauptbahnhof
chosen
Würzburg Hauptbahnhof is the main railway station and central transportation hub of the city of Würzburg in Bavaria, Germany.
-
B.
Augsburg Hauptbahnhof
Augsburg Hauptbahnhof is the main railway station and central transportation hub of the city of Augsburg in Bavaria, Germany.
-
C.
Nürnberg Hauptbahnhof
Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
-
D.
Bayreuth Hauptbahnhof
Bayreuth Hauptbahnhof is the main railway station serving the city of Bayreuth in northern Bavaria, Germany, providing regional and long-distance rail connections.
-
E.
Ulm Hauptbahnhof
Ulm Hauptbahnhof is the main railway station and central transport hub of the city of Ulm in southern 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03852806c81908ba726c16adf3358 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.