Triple
T20962699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiel Hauptbahnhof |
E516286
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Kiel 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: Kiel Hauptbahnhof | Statement: [Kiel Hauptbahnhof, hasNameInGerman, Kiel Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiel Hauptbahnhof Context triple: [Kiel Hauptbahnhof, hasNameInGerman, Kiel Hauptbahnhof]
-
A.
Kiel Hauptbahnhof
chosen
Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern Germany.
-
B.
Witten Hauptbahnhof
Witten Hauptbahnhof is the main railway station serving the city of Witten in North Rhine-Westphalia, Germany, providing regional and local train connections.
-
C.
Hamm Hauptbahnhof
Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
-
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.
Hannover Hauptbahnhof
Hannover Hauptbahnhof is the main central railway station of Hanover, Germany, serving as a major national and international transport hub.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb710d6c8190a2daacaad3b22683 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:32 p.m.