Triple
T18219605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vienna Volksoper |
E436257
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Währing |
—
|
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: Währing | Statement: [Vienna Volksoper, locatedInDistrict, Währing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Währing Context triple: [Vienna Volksoper, locatedInDistrict, Währing]
-
A.
Währing
chosen
Währing is a residential district in Vienna, Austria, known for its historic cemeteries, green spaces, and late 19th-century urban architecture.
-
B.
Wiesener
Wiesener is a surname, likely of German origin, that serves as a variant spelling of the name Wiesner.
-
C.
Ybbs an der Donau
Ybbs an der Donau is a small Austrian town in Lower Austria situated on the Danube River, known for its historic center and riverside setting.
-
D.
Weßling
Weßling is a small municipality in Bavaria, Germany, known for its scenic lake and as a residential community near Munich.
-
E.
Weitra
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47a3b1c8190919e954089b41ae0 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.