Triple
T13754646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Schmähingen
Schmähingen is a small village and district of the town of Nördlingen in the Donau-Ries region of Bavaria, Germany.
|
E1060700
|
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: Schmähingen | Statement: [Donau-Ries, containsMunicipality, Schmähingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmähingen Context triple: [Donau-Ries, containsMunicipality, Schmähingen]
-
A.
Schmöckwitz
Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
-
B.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
- 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: Schmähingen Triple: [Donau-Ries, containsMunicipality, Schmähingen]
Generated description
Schmähingen is a small village and district of the town of Nördlingen in the Donau-Ries region of Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schmähingen Target entity description: Schmähingen is a small village and district of the town of Nördlingen in the Donau-Ries region of Bavaria, Germany.
-
A.
Schmöckwitz
Schmöckwitz is a locality in the southeastern outskirts of Berlin, known for its lakeside setting and forested surroundings within the borough of Treptow-Köpenick.
-
B.
Schmargendorf
Schmargendorf is a residential locality in southwestern Berlin known for its quiet streets, historic buildings, and proximity to the Grunewald forest.
-
C.
Marlenheim
Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
-
D.
Hademstorf
Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
E.
Schweinheim
Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
- 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_69f7ad54e3e88190aeae31d69788cce5 |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:09 p.m.