Triple
T13536794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braubachstraße |
E323281
|
entity |
| Predicate | urbanDistrict |
P12103
|
FINISHED |
| Object | Altstadt |
E727033
|
NE FINISHED |
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: Altstadt | Statement: [Braubachstraße, urbanDistrict, Altstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altstadt Context triple: [Braubachstraße, urbanDistrict, Altstadt]
-
A.
Altstadt
Altstadt is the historic old town of Düsseldorf, Germany, known for its dense concentration of bars, traditional breweries, and cultural landmarks along the Rhine River.
-
B.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
C.
Altstadt
Altstadt is the historic old town of Zürich, Switzerland, known for its medieval streets, preserved architecture, and cultural landmarks along the Limmat River.
-
D.
Altstadt
chosen
Altstadt is the historic old town district of Koblenz, Germany, known for its preserved medieval streets, squares, and traditional architecture along the Rhine and Moselle rivers.
-
E.
Altstadt
Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.