Triple
T22183211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Belvedere |
E548224
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Vienna cityscape |
—
|
NE NERFINISHED |
How this triple was built (3 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: Vienna cityscape | Statement: [Upper Belvedere, hasView, Vienna cityscape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vienna cityscape Context triple: [Upper Belvedere, hasView, Vienna cityscape]
-
A.
Innere Stadt, Vienna
Innere Stadt, Vienna is the historic first district and city center of Austria’s capital, known for its imperial architecture, cultural landmarks, and role as the heart of Vienna’s political and social life.
-
B.
Karlsplatz, Vienna, Austria
Karlsplatz in Vienna, Austria is a major central square and transport hub known for its historic architecture, cultural institutions, and proximity to landmarks like the Karlskirche.
-
C.
Küniglberg, Vienna
Küniglberg in Vienna is a prominent hilltop area best known as the main broadcasting campus of Austria’s public broadcaster ORF.
-
D.
Berlin cityscape
Berlin cityscape is the expansive urban panorama of Germany’s capital, showcasing its mix of historic landmarks, modern architecture, and sprawling city blocks.
-
E.
Judengasse, Vienna
Judengasse, Vienna is a historic street in Vienna’s Innere Stadt district that was once the center of the city’s medieval Jewish quarter.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vienna cityscape Target entity description: Vienna cityscape is the panoramic urban skyline of Austria’s capital, characterized by its historic architecture, church spires, and grand imperial landmarks.
-
A.
Innere Stadt, Vienna
Innere Stadt, Vienna is the historic first district and city center of Austria’s capital, known for its imperial architecture, cultural landmarks, and role as the heart of Vienna’s political and social life.
-
B.
Karlsplatz, Vienna, Austria
Karlsplatz in Vienna, Austria is a major central square and transport hub known for its historic architecture, cultural institutions, and proximity to landmarks like the Karlskirche.
-
C.
Küniglberg, Vienna
Küniglberg in Vienna is a prominent hilltop area best known as the main broadcasting campus of Austria’s public broadcaster ORF.
-
D.
Berlin cityscape
Berlin cityscape is the expansive urban panorama of Germany’s capital, showcasing its mix of historic landmarks, modern architecture, and sprawling city blocks.
-
E.
Judengasse, Vienna
Judengasse, Vienna is a historic street in Vienna’s Innere Stadt district that was once the center of the city’s medieval Jewish quarter.
- F. None of above. chosen
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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.