Triple
T13497055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamberg–Hof railway |
E320787
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bamberg station |
E411791
|
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: Bamberg station | Statement: [Bamberg–Hof railway, hasStation, Bamberg station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamberg station Context triple: [Bamberg–Hof railway, hasStation, Bamberg station]
-
A.
Bamberg Bahnhof
chosen
Bamberg Bahnhof is the main railway station in the Bavarian city of Bamberg, serving as a regional and long-distance transport hub in northern Bavaria.
-
B.
Coburg station
Coburg station is a railway station in Coburg, Germany, serving as a regional transport hub connecting the city to surrounding areas.
-
C.
Ansbach station
Ansbach station is the main railway station serving the town of Ansbach in Bavaria, Germany, providing regional and long-distance train connections.
-
D.
Gotha railway station
Gotha railway station is the main rail transport hub serving the town of Gotha in Thuringia, Germany, providing regional and long-distance train connections.
-
E.
Rosenheim station
Rosenheim station is a major railway hub in the Bavarian town of Rosenheim, Germany, serving regional and long-distance passenger services on several important rail routes.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75485af6c8190a43ccab5449f5014 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.