Triple
T18707051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st district of Vienna |
E457398
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Graben (Vienna) |
—
|
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: Graben (Vienna) | Statement: [1st district of Vienna, contains, Graben (Vienna)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graben (Vienna) Context triple: [1st district of Vienna, contains, Graben (Vienna)]
-
A.
Graben (Vienna)
chosen
Graben (Vienna) is a famous and historic pedestrian shopping street in central Vienna, known for its elegant architecture, luxury boutiques, and prominent monuments.
-
B.
St. Alban-Graben
St. Alban-Graben is a central street in Basel, Switzerland, known for hosting major cultural institutions and serving as an important urban thoroughfare.
-
C.
Schwarzer Graben
Schwarzer Graben is a small waterway or channel in Germany located near the river island of Hasselwerder.
-
D.
Graben Pestsäule
Graben Pestsäule is a prominent Baroque plague column and religious monument located on Vienna’s Graben, commemorating victims of the Great Plague of 1679.
-
E.
Frauentorgraben
Frauentorgraben is a major street and section of the historic defensive moat encircling Nuremberg’s old town in Bavaria, Germany.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.