Triple
T22003099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augsburg Water Management System |
E543380
|
entity |
| Predicate | coordinateLocation |
P1573
|
FINISHED |
| Object | Augsburg, 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: Augsburg, Bavaria, Germany | Statement: [Augsburg Water Management System, coordinateLocation, Augsburg, Bavaria, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Augsburg, Bavaria, Germany Context triple: [Augsburg Water Management System, coordinateLocation, Augsburg, Bavaria, Germany]
-
A.
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.
-
B.
Würzburg, Germany
Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
-
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.
Saalfeld, Germany
Saalfeld is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and scenic location on the Saale River.
-
E.
Schwarzenau, Germany
Schwarzenau, Germany is a village in the state of North Rhine-Westphalia best known as the early 18th-century birthplace of the Schwarzenau Brethren, a radical Pietist movement that gave rise to the Church of the Brethren.
- 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: Augsburg, Bavaria, Germany Target entity description: 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.
-
A.
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.
-
B.
Würzburg, Germany
Würzburg, Germany is a historic city in northern Bavaria known for its baroque and rococo architecture, prominent university, and renowned Franconian wine culture.
-
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.
Saalfeld, Germany
Saalfeld is a historic town in the German state of Thuringia, known for its well-preserved medieval architecture and scenic location on the Saale River.
-
E.
Schwarzenau, Germany
Schwarzenau, Germany is a village in the state of North Rhine-Westphalia best known as the early 18th-century birthplace of the Schwarzenau Brethren, a radical Pietist movement that gave rise to the Church of the Brethren.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.