Triple
T21380578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwanau |
E527341
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Nonnenweier
Nonnenweier is a village in southwestern Germany that now forms part of the municipality of Schwanau in the Ortenau district of Baden-Württemberg.
|
E1541189
|
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: Nonnenweier | Statement: [Schwanau, formedByMergerOf, Nonnenweier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonnenweier Context triple: [Schwanau, formedByMergerOf, Nonnenweier]
-
A.
Ebersweier
Ebersweier is a village in the Ortenau district of Baden-Württemberg, Germany, forming a local subdivision of the wine-growing municipality of Durbach.
-
B.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
C.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
D.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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: Nonnenweier Triple: [Schwanau, formedByMergerOf, Nonnenweier]
Generated description
Nonnenweier is a village in southwestern Germany that now forms part of the municipality of Schwanau in the Ortenau district of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nonnenweier Target entity description: Nonnenweier is a village in southwestern Germany that now forms part of the municipality of Schwanau in the Ortenau district of Baden-Württemberg.
-
A.
Ebersweier
Ebersweier is a village in the Ortenau district of Baden-Württemberg, Germany, forming a local subdivision of the wine-growing municipality of Durbach.
-
B.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
C.
Ruppichteroth
Ruppichteroth is a small municipality in western Germany’s North Rhine-Westphalia region, characterized by its rural setting and proximity to the metropolitan area of Cologne-Bonn.
-
D.
Schöneck
Schöneck is a town in the Vogtland region of Saxony, Germany, known for its elevated location and surrounding natural landscapes.
-
E.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dbd34e88190a0416e29251a3311 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1e511d548190934ed8e1df7441de |
completed | May 18, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1f1e599481908a91e86f58402522 |
completed | May 18, 2026, 2:15 p.m. |
Created at: April 16, 2026, 5:11 p.m.