Triple
T17177510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todtnau |
E416898
|
entity |
| Predicate | subdivision |
P747
|
FINISHED |
| Object |
Schlechtnau
Schlechtnau is a village and local district (Ortsteil) of the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
|
E1283563
|
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: Schlechtnau | Statement: [Todtnau, subdivision, Schlechtnau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlechtnau Context triple: [Todtnau, subdivision, Schlechtnau]
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Krummenau
Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
-
C.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
-
D.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
E.
Harsdorf
Harsdorf is a small municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
- 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: Schlechtnau Triple: [Todtnau, subdivision, Schlechtnau]
Generated description
Schlechtnau is a village and local district (Ortsteil) of the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schlechtnau Target entity description: Schlechtnau is a village and local district (Ortsteil) of the town of Todtnau in the Black Forest region of Baden-Württemberg, Germany.
-
A.
Tattendorf
Tattendorf is a small wine-growing village and municipality in Lower Austria, known for its vineyards and rural character.
-
B.
Krummenau
Krummenau is a village in the Toggenburg region of the Swiss canton of St. Gallen, known for its rural alpine setting and traditional Swiss character.
-
C.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
-
D.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
E.
Harsdorf
Harsdorf is a small municipality in the Bavarian region of Germany, known for its rural character and location within the Upper Franconia area.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023007da0c81908a9665d62a24b44c |
completed | May 11, 2026, 7:37 p.m. |
| NEDg | Description generation | batch_6a023192ea9c819096bf6ed8952f21c4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02321a9c6c8190a86ebfdcfa32f786 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 5:37 a.m.