Triple
T3899961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krušné hory |
E90460
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Oberwiesenthal
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
|
E423151
|
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: Oberwiesenthal | Statement: [Krušné hory, contains, Oberwiesenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oberwiesenthal Context triple: [Krušné hory, contains, Oberwiesenthal]
-
A.
Zinnowitz
Zinnowitz is a seaside resort town on Germany’s Baltic Sea coast, known for its sandy beaches, historic spa architecture, and tourism on the island of Usedom.
-
B.
Mittenwald
Mittenwald is a picturesque Bavarian town renowned for its traditional violin-making heritage and scenic setting in the German Alps near the Austrian border.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
E.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
- 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: Oberwiesenthal Triple: [Krušné hory, contains, Oberwiesenthal]
Generated description
Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oberwiesenthal Target entity description: Oberwiesenthal is a German mountain town and ski resort in the Ore Mountains, known as one of the highest-altitude towns in the country and a popular destination for winter sports.
-
A.
Zinnowitz
Zinnowitz is a seaside resort town on Germany’s Baltic Sea coast, known for its sandy beaches, historic spa architecture, and tourism on the island of Usedom.
-
B.
Mittenwald
Mittenwald is a picturesque Bavarian town renowned for its traditional violin-making heritage and scenic setting in the German Alps near the Austrian border.
-
C.
Tirschenreuth
Tirschenreuth is a town in northeastern Bavaria, Germany, known for its historic town center and surrounding lake and pond landscapes.
-
D.
Oberwallenstadt
Oberwallenstadt is a village and district of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
E.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf17ef4819083db0a22e24d5b89 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a82c551c8190a97fdc5a96cf131c |
completed | March 14, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69b5a8a660bc8190bef754d74ec770b3 |
completed | March 14, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a93451388190bd40c55634c8f6f0 |
completed | March 14, 2026, 6:30 p.m. |
Created at: March 9, 2026, 3:21 p.m.