Triple
T16593806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfinz |
E403155
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Rußheim
Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
|
E1251450
|
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: Rußheim | Statement: [Pfinz, flowsThrough, Rußheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rußheim Context triple: [Pfinz, flowsThrough, Rußheim]
-
A.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
C.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
-
D.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
E.
Rutesheim
Rutesheim is a small town in the German state of Baden-Württemberg, located near Stuttgart and known for its residential character and regional transport connections.
- 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: Rußheim Triple: [Pfinz, flowsThrough, Rußheim]
Generated description
Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rußheim Target entity description: Rußheim is a village in the German state of Baden-Württemberg, located in the Upper Rhine Plain and characterized by its agricultural surroundings and proximity to regional waterways.
-
A.
Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
B.
Rheingönheim
Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
-
C.
Kelkheim
Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
-
D.
Griesheim
Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
-
E.
Rutesheim
Rutesheim is a small town in the German state of Baden-Württemberg, located near Stuttgart and known for its residential character and regional transport connections.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d6fcaa48190b1ba7dc3b792041a |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e380bc81908452f6e8666f23ad |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013c9808ec8190af5f0e61e797e63b |
completed | May 11, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013d1576548190ae1f218a9a7960cc |
completed | May 11, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5:16 a.m.