Triple
T1924797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münster |
E40803
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Aasee (lake)
Aasee is an artificial lake and popular recreational area in Münster, Germany, known for boating, walking paths, and cultural events along its shores.
|
E215546
|
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: Aasee (lake) | Statement: [Münster, hasLandmark, Aasee (lake)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aasee (lake) Context triple: [Münster, hasLandmark, Aasee (lake)]
-
A.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
B.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
C.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Pisochne Lake
Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
- 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: Aasee (lake) Triple: [Münster, hasLandmark, Aasee (lake)]
Generated description
Aasee is an artificial lake and popular recreational area in Münster, Germany, known for boating, walking paths, and cultural events along its shores.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aasee (lake) Target entity description: Aasee is an artificial lake and popular recreational area in Münster, Germany, known for boating, walking paths, and cultural events along its shores.
-
A.
Svityaz Lake
Svityaz Lake is the deepest and one of the largest natural lakes in Ukraine, renowned for its clear waters and location within the Shatsk National Nature Park.
-
B.
Volkerak lake
Volkerak lake is a Dutch freshwater lake in the Rhine–Meuse–Scheldt delta, created as part of the Delta Works water management system.
-
C.
Kankaria Lake
Kankaria Lake is a historic, man-made lake in Ahmedabad, India, known for its recreational facilities, zoo, and popular waterfront promenade.
-
D.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
E.
Pisochne Lake
Pisochne Lake is a freshwater lake located in Ukraine’s Volyn Oblast, known for its clear waters and natural surroundings.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb260da088190ac53bfc9437e112b |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e881748190b00f125185e91271 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf494f0288190bf77285d18fcd3d9 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf51f49488190b9b0465b4da685c1 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.