Triple
T18278684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electoral Palace, Trier |
E437805
|
entity |
| Predicate | nearTransport |
P5822
|
FINISHED |
| Object | Trier 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: Trier Hauptbahnhof | Statement: [Electoral Palace, Trier, nearTransport, Trier Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trier Hauptbahnhof Context triple: [Electoral Palace, Trier, nearTransport, Trier Hauptbahnhof]
-
A.
Trier Hauptbahnhof
chosen
Trier Hauptbahnhof is the main railway station and central transport hub serving the historic city of Trier in western Germany.
-
B.
Bern Hauptbahnhof
Bern Hauptbahnhof is the main railway station in Switzerland’s capital city, serving as a major national and international transport hub.
-
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.
Koblenz Hauptbahnhof
Koblenz Hauptbahnhof is the main railway station and central transport hub of the city of Koblenz in western Germany.
-
E.
Kiel Hauptbahnhof
Kiel Hauptbahnhof is the main railway station and central transportation hub serving the port city of Kiel in northern 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50053cc808190b46a3ec9d96936fe |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.