Triple
T10587228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulmbach district |
E249884
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kasendorf
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
|
E896445
|
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: Kasendorf | Statement: [Kulmbach district, hasMunicipality, Kasendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasendorf Context triple: [Kulmbach district, hasMunicipality, Kasendorf]
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
-
C.
Jachenau
Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
-
D.
Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
-
E.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
- 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: Kasendorf Triple: [Kulmbach district, hasMunicipality, Kasendorf]
Generated description
Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kasendorf Target entity description: Kasendorf is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and scenic surroundings.
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Kaufering
Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
-
C.
Jachenau
Jachenau is a small Bavarian municipality in southern Germany, known for its scenic alpine landscape and traditional rural character.
-
D.
Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
-
E.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d65fc0948190af4356fc9f5004bb |
completed | April 18, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 6, 2026, 12:39 p.m.