Triple
T5490116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osnabrück district |
E123679
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
|
E527610
|
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: Fürstenau | Statement: [Osnabrück district, contains, Fürstenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fürstenau Context triple: [Osnabrück district, contains, Fürstenau]
-
A.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
B.
Luxenberg
Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
E.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
- 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: Fürstenau Triple: [Osnabrück district, contains, Fürstenau]
Generated description
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fürstenau Target entity description: Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
A.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
B.
Luxenberg
Luxenberg is an alternative spelling or variant form of the name "Luxemburg," which can refer to the European country Luxembourg or the surname of notable individuals such as revolutionary Rosa Luxemburg.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Herrenberg
Herrenberg is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and proximity to the Schönbuch Nature Park.
-
E.
Friedenau
Friedenau is a residential district in southwestern Berlin known for its historic architecture, leafy streets, and literary heritage.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927dcb848190a9d31e2435f8a755 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff4ad59748190873288afe4a48878 |
completed | March 22, 2026, 1:54 p.m. |
| NEDg | Description generation | batch_69bff51d483c8190b20e9e669306ad86 |
completed | March 22, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bff568ccd481908722129292d6e472 |
completed | March 22, 2026, 1:58 p.m. |
Created at: March 20, 2026, 2:10 p.m.