Triple
T2033533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Möhne Dam |
E44569
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object |
Möhnesee
Möhnesee is a municipality in North Rhine-Westphalia, Germany, known for its large reservoir and scenic recreational area around the Möhne River.
|
E250420
|
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: Möhnesee | Statement: [Möhne Dam, nearCity, Möhnesee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Möhnesee Context triple: [Möhne Dam, nearCity, Möhnesee]
-
A.
Würmsee
Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
-
B.
Jungfernsee
Jungfernsee is a scenic lake on the outskirts of Potsdam and Berlin, known for its historic villas, palaces, and location along the former inner German border.
-
C.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
-
D.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
E.
Rummelsburger See
Rummelsburger See is a small inner-city lake and former industrial harbor basin in Berlin, Germany, known today for its residential waterfront and recreational areas.
- 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: Möhnesee Triple: [Möhne Dam, nearCity, Möhnesee]
Generated description
Möhnesee is a municipality in North Rhine-Westphalia, Germany, known for its large reservoir and scenic recreational area around the Möhne River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Möhnesee Target entity description: Möhnesee is a municipality in North Rhine-Westphalia, Germany, known for its large reservoir and scenic recreational area around the Möhne River.
-
A.
Würmsee
Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
-
B.
Jungfernsee
Jungfernsee is a scenic lake on the outskirts of Potsdam and Berlin, known for its historic villas, palaces, and location along the former inner German border.
-
C.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
-
D.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
E.
Rummelsburger See
Rummelsburger See is a small inner-city lake and former industrial harbor basin in Berlin, Germany, known today for its residential waterfront and recreational areas.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb93255248190bd47a54a7b3c7447 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71a7e3408190955aa7f2534316dc |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae74190ac481908d1a54fb744e7df3 |
completed | March 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae7472fe948190b8df210de1afb159 |
completed | March 9, 2026, 7:19 a.m. |
Created at: March 4, 2026, 7:39 p.m.