Triple
T6155488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Godesberg |
E137309
|
entity |
| Predicate | hasSubdistrict |
P747
|
FINISHED |
| Object |
Rüngsdorf
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
|
E598084
|
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: Rüngsdorf | Statement: [Bad Godesberg, hasSubdistrict, Rüngsdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rüngsdorf Context triple: [Bad Godesberg, hasSubdistrict, Rüngsdorf]
-
A.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
B.
Hennigsdorf
Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
-
C.
Seubelsdorf
Seubelsdorf is a village that forms one of the local subdivisions of the town of Lichtenfels in Bavaria, Germany.
-
D.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
E.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
- 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: Rüngsdorf Triple: [Bad Godesberg, hasSubdistrict, Rüngsdorf]
Generated description
Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rüngsdorf Target entity description: Rüngsdorf is a residential district in the southern part of Bonn, Germany, known for its scenic location along the Rhine and its affiliation with the Bad Godesberg borough.
-
A.
Ronsdorf
Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
-
B.
Hennigsdorf
Hennigsdorf is a town in the German state of Brandenburg, located just northwest of Berlin and known for its industrial heritage and proximity to the Havel River.
-
C.
Seubelsdorf
Seubelsdorf is a village that forms one of the local subdivisions of the town of Lichtenfels in Bavaria, Germany.
-
D.
Heinersdorf
Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
-
E.
Langendorf
Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6636ff608819087e25c2453220d93 |
completed | March 27, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69c6675faeb08190a345ecdb18d188b5 |
completed | March 27, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c667f177d481909f322ab7ce092593 |
completed | March 27, 2026, 11:20 a.m. |
Created at: March 22, 2026, 4:17 p.m.