Triple
T2057808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorpe Dam |
E45716
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Langscheid
Langscheid is a village in the Sauerland region of North Rhine-Westphalia, Germany, known for its scenic setting by the Sorpe Dam and its recreational tourism.
|
E228423
|
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: Langscheid | Statement: [Sorpe Dam, locatedNear, Langscheid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langscheid Context triple: [Sorpe Dam, locatedNear, Langscheid]
-
A.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
B.
Hilchenbach
Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
-
C.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
D.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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: Langscheid Triple: [Sorpe Dam, locatedNear, Langscheid]
Generated description
Langscheid is a village in the Sauerland region of North Rhine-Westphalia, Germany, known for its scenic setting by the Sorpe Dam and its recreational tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langscheid Target entity description: Langscheid is a village in the Sauerland region of North Rhine-Westphalia, Germany, known for its scenic setting by the Sorpe Dam and its recreational tourism.
-
A.
Rheydt
Rheydt is a district of the German city of Mönchengladbach in North Rhine-Westphalia, historically an independent town in the Rhineland.
-
B.
Hilchenbach
Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
-
C.
Lüßbach
Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
-
D.
Lahnstein
Lahnstein is a historic town in western Germany, located on the Rhine River in the state of Rhineland-Palatinate.
-
E.
Radevormwald
Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9ae0130819089f7d62005466a45 |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2011bf20819094f4f3e88dfde9ea |
completed | March 9, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69ae20cbf3608190984dfd9638b9053b |
completed | March 9, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae213410708190af9715f488c5b8f5 |
completed | March 9, 2026, 1:24 a.m. |
Created at: March 4, 2026, 7:40 p.m.