Triple
T13754619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Asbach-Bäumenheim
Asbach-Bäumenheim is a municipality in the Donau-Ries district of Bavaria, Germany, known for its residential character and local industry.
|
E1060499
|
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: Asbach-Bäumenheim | Statement: [Donau-Ries, containsMunicipality, Asbach-Bäumenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asbach-Bäumenheim Context triple: [Donau-Ries, containsMunicipality, Asbach-Bäumenheim]
-
A.
Aubach
Aubach is a small stream in northern Germany that serves as one of the tributaries feeding Lake Schwerin.
-
B.
Assmannshausen
Assmannshausen is a renowned wine-producing village in Germany’s Rheingau region, particularly famous for its red wines made from Spätburgunder (Pinot Noir).
-
C.
Braunsbach
Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
- 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: Asbach-Bäumenheim Triple: [Donau-Ries, containsMunicipality, Asbach-Bäumenheim]
Generated description
Asbach-Bäumenheim is a municipality in the Donau-Ries district of Bavaria, Germany, known for its residential character and local industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asbach-Bäumenheim Target entity description: Asbach-Bäumenheim is a municipality in the Donau-Ries district of Bavaria, Germany, known for its residential character and local industry.
-
A.
Aubach
Aubach is a small stream in northern Germany that serves as one of the tributaries feeding Lake Schwerin.
-
B.
Assmannshausen
Assmannshausen is a renowned wine-producing village in Germany’s Rheingau region, particularly famous for its red wines made from Spätburgunder (Pinot Noir).
-
C.
Braunsbach
Braunsbach is a small municipality in the German state of Baden-Württemberg, known for being severely damaged by flash floods during the 2016 European flooding events.
-
D.
Balzhausen
Balzhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Ochsenhausen
Ochsenhausen is a small historic town in the German state of Baden-Württemberg, best known for its former Benedictine monastery, Ochsenhausen Abbey.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7a91deb3c8190ad2be7f1ca99ac9b |
completed | May 3, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.