Triple
T16792376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlangen Hauptbahnhof |
E408140
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Fürth Hauptbahnhof |
E15519
|
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: Fürth Hauptbahnhof | Statement: [Erlangen Hauptbahnhof, connectsTo, Fürth Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fürth Hauptbahnhof Context triple: [Erlangen Hauptbahnhof, connectsTo, Fürth Hauptbahnhof]
-
A.
Fürth Hauptbahnhof
chosen
Fürth Hauptbahnhof is the main railway station of Fürth in Bavaria, Germany, serving as a regional and local transport hub with connections to nearby cities including Nuremberg.
-
B.
Franz-Josefs-Bahnhof
Franz-Josefs-Bahnhof is a major railway station in Vienna, Austria, serving regional and international train connections, particularly toward the northwest.
-
C.
Graz Hauptbahnhof
Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
-
D.
Wien Hauptbahnhof
Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
-
E.
Hof Hauptbahnhof
Hof Hauptbahnhof is the main railway station serving the city of Hof in Bavaria, Germany, functioning as a regional transport hub.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2a6c9888190b3f8f625b299574d |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28970748190836806c68ad9e230 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.