Triple
T12715363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulm–Memmingen railway |
E303823
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Ulm Hauptbahnhof |
E60882
|
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: Ulm Hauptbahnhof | Statement: [Ulm–Memmingen railway, terminus, Ulm Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulm Hauptbahnhof Context triple: [Ulm–Memmingen railway, terminus, Ulm Hauptbahnhof]
-
A.
Ulm Hauptbahnhof
chosen
Ulm Hauptbahnhof is the main railway station and central transport hub of the city of Ulm in southern Germany.
-
B.
Neu-Ulm station
Neu-Ulm station is a railway station in the Bavarian town of Neu-Ulm, Germany, serving regional and local train services on routes including those connecting to nearby Ulm.
-
C.
Heilbronn Hauptbahnhof
Heilbronn Hauptbahnhof is the main railway station and central transport hub serving the city of Heilbronn in southwestern Germany.
-
D.
Augsburg Hauptbahnhof
Augsburg Hauptbahnhof is the main railway station and central transportation hub of the city of Augsburg in Bavaria, Germany.
-
E.
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.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620a7554819083784897ff690652 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c802e248190865a6561ad1bf0b6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.