Triple
T5252101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunzenhausen |
E118611
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object |
Rothsee
Rothsee is an artificial recreational lake in Middle Franconia, Bavaria, popular for swimming, sailing, and other water sports.
|
E514424
|
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: Rothsee | Statement: [Gunzenhausen, hasNearbyLake, Rothsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rothsee Context triple: [Gunzenhausen, hasNearbyLake, Rothsee]
-
A.
Grunewaldsee
Grunewaldsee is a popular forest lake in Berlin known for its scenic surroundings and dog-friendly bathing areas.
-
B.
Stölpchensee
Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
-
C.
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.
-
D.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
E.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
- 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: Rothsee Triple: [Gunzenhausen, hasNearbyLake, Rothsee]
Generated description
Rothsee is an artificial recreational lake in Middle Franconia, Bavaria, popular for swimming, sailing, and other water sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rothsee Target entity description: Rothsee is an artificial recreational lake in Middle Franconia, Bavaria, popular for swimming, sailing, and other water sports.
-
A.
Grunewaldsee
Grunewaldsee is a popular forest lake in Berlin known for its scenic surroundings and dog-friendly bathing areas.
-
B.
Stölpchensee
Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
-
C.
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.
-
D.
Weissensee
Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
-
E.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b7b840881908bb1ecb8a0047382 |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21ab5bc481909a8f2f5d1aaeb111 |
completed | March 21, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69bf23fb1ce48190877eb58730d82b62 |
completed | March 21, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf245092b48190904e1a7b1e5923af |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 1:50 p.m.