Triple
T22795990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archduchess Gisela of Austria |
E564246
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Munich, Bavaria, Germany |
—
|
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: Munich, Bavaria, Germany | Statement: [Archduchess Gisela of Austria, deathPlace, Munich, Bavaria, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munich, Bavaria, Germany Context triple: [Archduchess Gisela of Austria, deathPlace, Munich, Bavaria, Germany]
-
A.
Augsburg, Bavaria, Germany
Augsburg is a historic city in the German state of Bavaria, known for its well-preserved medieval architecture, rich trading heritage, and innovative water management systems.
-
B.
Neubiberg, Germany
Neubiberg, Germany is a municipality near Munich known as a hub for high-tech industry and research, including serving as the base for major semiconductor companies.
-
C.
Rosenheim, Germany
Rosenheim, Germany is a mid-sized Bavarian city near the Alps, known for its historic old town, regional trade and transport hub status, and picturesque setting along the Inn River.
-
D.
Landshut, Bavaria, Germany
Landshut is a historic city in the German state of Bavaria, known for its well-preserved medieval architecture and the annual Landshut Wedding festival.
-
E.
Maxvorstadt, Munich
Maxvorstadt is a central Munich district known for its cultural institutions, universities, and museums, forming one of the city's key intellectual and artistic hubs.
- 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: Munich, Bavaria, Germany Target entity description: Munich, Bavaria, Germany is the capital and largest city of the German state of Bavaria, renowned for its rich cultural heritage, historic architecture, and annual Oktoberfest celebration.
-
A.
Augsburg, Bavaria, Germany
Augsburg is a historic city in the German state of Bavaria, known for its well-preserved medieval architecture, rich trading heritage, and innovative water management systems.
-
B.
Neubiberg, Germany
Neubiberg, Germany is a municipality near Munich known as a hub for high-tech industry and research, including serving as the base for major semiconductor companies.
-
C.
Rosenheim, Germany
Rosenheim, Germany is a mid-sized Bavarian city near the Alps, known for its historic old town, regional trade and transport hub status, and picturesque setting along the Inn River.
-
D.
Landshut, Bavaria, Germany
Landshut is a historic city in the German state of Bavaria, known for its well-preserved medieval architecture and the annual Landshut Wedding festival.
-
E.
Maxvorstadt, Munich
Maxvorstadt is a central Munich district known for its cultural institutions, universities, and museums, forming one of the city's key intellectual and artistic hubs.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd8e0c4819086da0488bea56a34 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.