Triple
T10711665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höxter |
E252551
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Fürstenau
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
|
E936732
|
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: [Höxter, hasSubdivision, Fürstenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fürstenau Context triple: [Höxter, hasSubdivision, Fürstenau]
-
A.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
B.
Fürstenstein
Fürstenstein is a small Bavarian municipality in southeastern Germany, located in the rural Passau district near the Austrian border.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Waldeck-Frankenberg
Waldeck-Frankenberg is a rural district in northern Hesse, Germany, known for its scenic landscapes, forests, and small historic towns.
-
E.
Leuchtenberg
Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
- 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: [Höxter, hasSubdivision, Fürstenau]
Generated description
Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fürstenau Target entity description: Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
-
A.
Fürstenau
Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
-
B.
Fürstenstein
Fürstenstein is a small Bavarian municipality in southeastern Germany, located in the rural Passau district near the Austrian border.
-
C.
Pfullendorf
Pfullendorf is a historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town.
-
D.
Waldeck-Frankenberg
Waldeck-Frankenberg is a rural district in northern Hesse, Germany, known for its scenic landscapes, forests, and small historic towns.
-
E.
Leuchtenberg
Leuchtenberg is a small municipality in Bavaria, Germany, known for its historic hilltop castle ruins and scenic Upper Palatinate countryside.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee85e044e881909d426f7121dd89e1 |
completed | April 26, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:13 p.m.