Triple
T2107405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegernsee |
E42425
|
entity |
| Predicate | hasShore |
P969
|
FINISHED |
| Object |
Bad Wiessee
Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
|
E235091
|
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: Bad Wiessee | Statement: [Tegernsee, hasShore, Bad Wiessee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Wiessee Context triple: [Tegernsee, hasShore, Bad Wiessee]
-
A.
Bad Waldsee
Bad Waldsee is a historic spa town in the German state of Baden-Württemberg, known for its thermal baths and picturesque old town.
-
B.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Bad Dürrenberg
Bad Dürrenberg is a spa town in the German state of Saxony-Anhalt, known for its saline springs and historic graduation works.
-
D.
Teufelssee
Teufelssee is a small natural lake in Berlin known for its scenic setting, recreational swimming, and clothing-optional bathing area.
-
E.
Höllental
Höllental is a steep, scenic alpine valley in the Bavarian Alps known for its challenging route up to Germany’s highest peak, the Zugspitze.
- 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: Bad Wiessee Triple: [Tegernsee, hasShore, Bad Wiessee]
Generated description
Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Wiessee Target entity description: Bad Wiessee is a Bavarian spa town in southern Germany, known for its therapeutic iodine-sulfur springs and scenic location on the shores of Lake Tegernsee.
-
A.
Bad Waldsee
Bad Waldsee is a historic spa town in the German state of Baden-Württemberg, known for its thermal baths and picturesque old town.
-
B.
Weidach
Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Bad Dürrenberg
Bad Dürrenberg is a spa town in the German state of Saxony-Anhalt, known for its saline springs and historic graduation works.
-
D.
Teufelssee
Teufelssee is a small natural lake in Berlin known for its scenic setting, recreational swimming, and clothing-optional bathing area.
-
E.
Höllental
Höllental is a steep, scenic alpine valley in the Bavarian Alps known for its challenging route up to Germany’s highest peak, the Zugspitze.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbadf12b88190acc513d8512777b2 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae306e040081909334f2a70036c26e |
completed | March 9, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69ae31722f0081908a4d9d0760af375e |
completed | March 9, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae3209e46c81909055a1ee4fccd74d |
completed | March 9, 2026, 2:35 a.m. |
Created at: March 4, 2026, 7:43 p.m.