Triple
T19661584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schottenring |
E472093
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ringstrasse |
—
|
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: Ringstrasse | Statement: [Schottenring, partOf, Ringstrasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringstrasse Context triple: [Schottenring, partOf, Ringstrasse]
-
A.
Ringstrasse, Vienna
chosen
Ringstrasse, Vienna is a grand 19th-century circular boulevard encircling Vienna’s historic center, renowned for its monumental public buildings, palaces, and parks.
-
B.
Prater Hauptallee
Prater Hauptallee is a long, tree-lined avenue in Vienna’s Prater park, popular for walking, cycling, and running and known for its historic and recreational significance.
-
C.
Mariahilfer Straße
Mariahilfer Straße is one of Vienna’s main and busiest shopping streets, known for its numerous retail stores, cafes, and pedestrian-friendly sections.
-
D.
Bundesgasse
Bundesgasse is a central street in Bern, Switzerland, known for its proximity to key federal government buildings and institutions.
-
E.
Landstraße, Vienna
Landstraße, Vienna is the city’s 3rd municipal district, known for its mix of historic architecture, embassies, and major landmarks such as the Belvedere complex.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414a667c81909aad04a737773c7e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.