Triple
T16799932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxon Ore Mountain mining region |
E408328
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object |
Wolkenstein
Wolkenstein is a historic small town in the Ore Mountains of Saxony, Germany, known for its medieval castle, spa traditions, and long association with regional mining.
|
E1235163
|
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: Wolkenstein | Statement: [Saxon Ore Mountain mining region, hasImportantTown, Wolkenstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolkenstein Context triple: [Saxon Ore Mountain mining region, hasImportantTown, Wolkenstein]
-
A.
Tettenweis
Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
D.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
E.
Walhorn
Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
- 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: Wolkenstein Triple: [Saxon Ore Mountain mining region, hasImportantTown, Wolkenstein]
Generated description
Wolkenstein is a historic small town in the Ore Mountains of Saxony, Germany, known for its medieval castle, spa traditions, and long association with regional mining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolkenstein Target entity description: Wolkenstein is a historic small town in the Ore Mountains of Saxony, Germany, known for its medieval castle, spa traditions, and long association with regional mining.
-
A.
Tettenweis
Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
-
B.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
C.
Erasbach
Erasbach is a small locality in Bavaria, Germany, best known as the birthplace of the composer Christoph Willibald Gluck.
-
D.
Helmbrechts
Helmbrechts is a small town in northern Bavaria, Germany, known for its textile industry and location in the Franconian Forest region.
-
E.
Walhorn
Walhorn is a village in the municipality of Lontzen in eastern Belgium, known for its rural character and historical setting near the German border.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2acd3548190a5f6ce7d1cf74117 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28b77188190b8d87fca1b5dde5d |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b32d2a588190b59bad56f8817bce |
completed | May 10, 2026, 4:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b3d14b3c819081f435777f47eca3 |
completed | May 10, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:22 a.m.