Triple
T13754631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Fremdingen
Fremdingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Donau-Ries district.
|
E1067428
|
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: Fremdingen | Statement: [Donau-Ries, containsMunicipality, Fremdingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fremdingen Context triple: [Donau-Ries, containsMunicipality, Fremdingen]
-
A.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
B.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
-
D.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
E.
Frümsen
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
- 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: Fremdingen Triple: [Donau-Ries, containsMunicipality, Fremdingen]
Generated description
Fremdingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Donau-Ries district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fremdingen Target entity description: Fremdingen is a small municipality in Bavaria, Germany, known for its rural character and location within the Donau-Ries district.
-
A.
Friedlingen
Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
-
B.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
-
C.
Eggenfelden
Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
-
D.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
E.
Frümsen
Frümsen is a small village in the municipality of Sennwald in the canton of St. Gallen in eastern Switzerland.
- 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_69f7c6fe88348190aa9803f7d6d67023 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c807e70c8190b15a7d4608a17591 |
completed | May 3, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c8f2b5588190b6143d676eb648a0 |
completed | May 3, 2026, 10:15 p.m. |
Created at: April 9, 2026, 10:09 p.m.