Triple
T13754639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donau-Ries |
E330443
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Möttingen
Möttingen is a municipality in the Donau-Ries district of Bavaria in southern Germany.
|
E1060510
|
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: Möttingen | Statement: [Donau-Ries, containsMunicipality, Möttingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möttingen Context triple: [Donau-Ries, containsMunicipality, Möttingen]
-
A.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
B.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
C.
Schwenningen
Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
-
D.
Muttenz
Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
-
E.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
- 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: Möttingen Triple: [Donau-Ries, containsMunicipality, Möttingen]
Generated description
Möttingen is a municipality in the Donau-Ries district of Bavaria in southern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Möttingen Target entity description: Möttingen is a municipality in the Donau-Ries district of Bavaria in southern Germany.
-
A.
Bremgarten
Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
-
B.
Attiswil
Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
-
C.
Schwenningen
Schwenningen is a district of Villingen-Schwenningen in Baden-Württemberg, Germany, known for its ice hockey tradition and as the home of the Schwenninger Wild Wings.
-
D.
Muttenz
Muttenz is a municipality in northern Switzerland that serves as a major suburban and industrial center in the canton of Basel-Landschaft, adjacent to the city of Basel.
-
E.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
- 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.