Triple
T3966054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn Nuremberg |
E92218
|
entity |
| Predicate | hasStation |
P35
|
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: [S-Bahn Nuremberg, hasStation, Fürth Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fürth Hauptbahnhof Context triple: [S-Bahn Nuremberg, hasStation, 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.
Graz Hauptbahnhof
Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
-
C.
Bern Hauptbahnhof
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
-
D.
Vienna station
Vienna station is a Washington Metro rapid transit station in Fairfax County, Virginia, serving as the western endpoint of the system’s Orange Line.
-
E.
Praterstern railway station
Praterstern railway station is a major transport hub in Vienna, Austria, serving as a key interchange for regional and urban rail, metro, tram, and bus services.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef976f4fc8190b2c16ab62c19cdb8 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533be4a688190a7d011ae2858e6ed |
completed | March 14, 2026, 10:09 a.m. |
Created at: March 9, 2026, 3:32 p.m.