Triple
T10870175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auhausen |
E256627
|
entity |
| Predicate | district |
P2709
|
FINISHED |
| Object | Donau-Ries |
E330443
|
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: Donau-Ries | Statement: [Auhausen, district, Donau-Ries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donau-Ries Context triple: [Auhausen, district, Donau-Ries]
-
A.
Donau-Ries
chosen
Donau-Ries is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and scenic landscapes along the Danube and Ries crater area.
-
B.
Altmühl valley
The Altmühl valley is a scenic river valley in Bavaria, Germany, known for its limestone cliffs, meandering Altmühl River, and popular hiking and cycling routes through the Franconian Jura landscape.
-
C.
Wuhle Valley
Wuhle Valley is a river valley in Berlin, Germany, shaped by and named after the Wuhle River.
-
D.
Wiesentheid
Wiesentheid is a market town in northern Bavaria, Germany, known for its Baroque architecture and location within the Franconian wine-growing region.
-
E.
Isar valley
The Isar valley is a scenic river valley in Bavaria, Germany, known for its picturesque landscapes, forests, and traditional towns along the Isar River.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518610e48190bee50db71ae0ca3e |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d9ce3c8190afeb2a27fb82b594 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.