Triple
T19394935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wien Hauptbahnhof |
E485162
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Wien 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: Wien Hauptbahnhof | Statement: [Wien Hauptbahnhof, nativeName, Wien Hauptbahnhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wien Hauptbahnhof Context triple: [Wien Hauptbahnhof, nativeName, Wien Hauptbahnhof]
-
A.
Wien Hauptbahnhof
chosen
Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
-
B.
Graz Hauptbahnhof
Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
-
C.
Vienna station
Vienna station is a Washington Metro rapid transit station in Fairfax County, Virginia, serving as the western endpoint of the system’s Orange Line.
-
D.
Wien Mitte railway station
Wien Mitte railway station is a major central transport hub in Vienna, Austria, serving regional and suburban trains as well as key urban transit lines.
-
E.
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.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b47630881909ba390888b8779f6 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.