Triple
T21286951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gera–Gößnitz railway |
E524686
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Gera Hauptbahnhof |
—
|
NE NERFINISHED |
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: Gera Hauptbahnhof | Statement: [Gera–Gößnitz railway, hasTerminus, Gera Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gera Hauptbahnhof Context triple: [Gera–Gößnitz railway, hasTerminus, Gera Hauptbahnhof]
-
A.
Gera Hauptbahnhof
chosen
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
-
B.
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.
-
C.
Gießen railway station
Gießen railway station is the main rail hub of the city of Gießen in Hesse, Germany, serving regional and long-distance passenger services.
-
D.
Bern Hauptbahnhof
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
-
E.
Erfurt Hauptbahnhof
Erfurt Hauptbahnhof is the main railway station and a major regional and long-distance rail hub in the city of Erfurt, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d717c88190950bd48058912b65 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.