Triple
T9553626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regensburg (district) |
E230485
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Wörth an der Donau
Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
|
E906537
|
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: Wörth an der Donau | Statement: [Regensburg (district), contains, Wörth an der Donau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wörth an der Donau Context triple: [Regensburg (district), contains, Wörth an der Donau]
-
A.
Wörth an der Isar
Wörth an der Isar is a small municipality in Lower Bavaria, Germany, situated on the river Isar and characterized by its rural setting and proximity to the city of Landshut.
-
B.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
-
C.
Donauwörth
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
-
D.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
E.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
- 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: Wörth an der Donau Triple: [Regensburg (district), contains, Wörth an der Donau]
Generated description
Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wörth an der Donau Target entity description: Wörth an der Donau is a small Bavarian town on the Danube River in southeastern Germany.
-
A.
Wörth an der Isar
Wörth an der Isar is a small municipality in Lower Bavaria, Germany, situated on the river Isar and characterized by its rural setting and proximity to the city of Landshut.
-
B.
Vilshofen an der Donau
Vilshofen an der Donau is a Bavarian town on the Danube River known for its historic old town and role as a regional commercial and cultural center.
-
C.
Donauwörth
Donauwörth is a historic Bavarian town in southern Germany situated at the confluence of the Danube and Lech rivers.
-
D.
Neuötting
Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
-
E.
Wörth am Main
Wörth am Main is a small town in the Miltenberg district of Bavaria, Germany, situated on the River Main and known for its picturesque riverside setting.
- 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_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: March 30, 2026, 8:02 p.m.