Triple
T14198658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bingen am Rhein |
E351906
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Büdesheim
Büdesheim is a district (Stadtteil) of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
|
E1139654
|
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: Büdesheim | Statement: [Bingen am Rhein, hasSubdivision, Büdesheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büdesheim Context triple: [Bingen am Rhein, hasSubdivision, Büdesheim]
-
A.
Büdesheim
Büdesheim is a municipality in Germany, known in part for its international town twinning, including a partnership with Saint-Cloud in France.
-
B.
Nettersheim
Nettersheim is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its natural landscapes and archaeological sites.
-
C.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
D.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
E.
Niederkassel
Niederkassel is a town in North Rhine-Westphalia, Germany, situated on the right bank of the Rhine between Bonn and Cologne.
- 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: Büdesheim Triple: [Bingen am Rhein, hasSubdivision, Büdesheim]
Generated description
Büdesheim is a district (Stadtteil) of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Büdesheim Target entity description: Büdesheim is a district (Stadtteil) of the town Bingen am Rhein in the German state of Rhineland-Palatinate.
-
A.
Büdesheim
Büdesheim is a municipality in Germany, known in part for its international town twinning, including a partnership with Saint-Cloud in France.
-
B.
Nettersheim
Nettersheim is a municipality in the Eifel region of North Rhine-Westphalia, Germany, known for its natural landscapes and archaeological sites.
-
C.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
D.
Büttelborn
Büttelborn is a municipality in the Groß-Gerau district of Hesse, Germany, situated in the Rhine-Main region near the city of Darmstadt.
-
E.
Niederkassel
Niederkassel is a town in North Rhine-Westphalia, Germany, situated on the right bank of the Rhine between Bonn and Cologne.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfcd67f081909f97bcf38d814a13 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec04c1f1c8190bbd2ada725505ca6 |
completed | May 9, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec0da6e54819090f25bd0eee128d6 |
completed | May 9, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:04 a.m.