Triple
T19482462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZDJ |
E487423
|
entity |
| Predicate | stationName |
P8935
|
FINISHED |
| Object | Bern 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: Bern Hauptbahnhof | Statement: [ZDJ, stationName, Bern Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bern Hauptbahnhof Context triple: [ZDJ, stationName, 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.
Hof Hauptbahnhof
Hof Hauptbahnhof is the main railway station serving the city of Hof in Bavaria, Germany, functioning as a regional transport hub.
-
C.
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.
-
D.
Hamm Hauptbahnhof
Hamm Hauptbahnhof is the central railway station and major rail hub serving the city of Hamm in North Rhine-Westphalia, Germany.
-
E.
Munich Hauptbahnhof
Munich Hauptbahnhof is the main railway station and central transportation hub of Munich, Germany, serving long-distance, regional, and S-Bahn commuter trains.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343ab16481909b508ba0a08ea191 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.