Triple
T9553633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regensburg (district) |
E230485
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Donaustauf
Donaustauf is a market town in Bavaria, Germany, situated on the Danube River just east of the city of Regensburg and known for the nearby Walhalla memorial.
|
E817307
|
NE FINISHED |
How this triple was built (4 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: Donaustauf | Statement: [Regensburg (district), contains, Donaustauf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donaustauf Context triple: [Regensburg (district), contains, Donaustauf]
-
A.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
B.
Tulln an der Donau
Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
-
C.
Lenzburg
Lenzburg is a historic Swiss town in the canton of Aargau, known for its medieval hilltop castle and well-preserved old town.
-
D.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
-
E.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donaustauf Triple: [Regensburg (district), contains, Donaustauf]
Generated description
Donaustauf is a market town in Bavaria, Germany, situated on the Danube River just east of the city of Regensburg and known for the nearby Walhalla memorial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donaustauf Target entity description: Donaustauf is a market town in Bavaria, Germany, situated on the Danube River just east of the city of Regensburg and known for the nearby Walhalla memorial.
-
A.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
B.
Tulln an der Donau
Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
-
C.
Lenzburg
Lenzburg is a historic Swiss town in the canton of Aargau, known for its medieval hilltop castle and well-preserved old town.
-
D.
Gmunden
Gmunden is a picturesque town in Upper Austria known for its lakeside setting on the Traunsee and its historic ceramics industry.
-
E.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
- F. None of above. chosen
Provenance (5 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f60aa508190b3966f4b917c41b5 |
completed | April 4, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d1a3cc5420819091ee338da5afe4b7 |
completed | April 4, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a5f265148190af432e3640221a33 |
completed | April 4, 2026, 11:59 p.m. |
Created at: March 30, 2026, 8:02 p.m.