Triple
T5001186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFF |
E112374
|
entity |
| Predicate | operatesStation |
P4904
|
FINISHED |
| Object | Bern Hauptbahnhof |
E112698
|
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: Bern Hauptbahnhof | Statement: [CFF, operatesStation, Bern Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bern Hauptbahnhof Context triple: [CFF, operatesStation, Bern Hauptbahnhof]
-
A.
Bern Hauptbahnhof
chosen
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
-
B.
Nürnberg Hauptbahnhof
Nürnberg Hauptbahnhof is the main railway station and a central public transport hub in Nuremberg, Germany, serving regional, long-distance, and urban transit including the U-Bahn network.
-
C.
Fürth Hauptbahnhof
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.
-
D.
Gera Hauptbahnhof
Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
-
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 (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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72bf0de08190a07419514afc3a06 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a3a5a108190a028920b1ae0be7a |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.