Triple
T17844759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-Loubet |
E445628
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Bühl
Bühl is a town in southwestern Germany’s Baden-Württemberg region, known for its fruit cultivation and proximity to the Black Forest.
|
E1309489
|
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: Bühl | Statement: [Villeneuve-Loubet, twinTown, Bühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bühl Context triple: [Villeneuve-Loubet, twinTown, Bühl]
-
A.
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
B.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
C.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
D.
Melchenbühl
Melchenbühl is a small locality within the municipality of Muri bei Bern in the canton of Bern, Switzerland.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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: Bühl Triple: [Villeneuve-Loubet, twinTown, Bühl]
Generated description
Bühl is a town in southwestern Germany’s Baden-Württemberg region, known for its fruit cultivation and proximity to the Black Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bühl Target entity description: Bühl is a town in southwestern Germany’s Baden-Württemberg region, known for its fruit cultivation and proximity to the Black Forest.
-
A.
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
B.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
C.
Trostberg
Trostberg is a small Bavarian town in southeastern Germany known for its historic old town and chemical industry.
-
D.
Melchenbühl
Melchenbühl is a small locality within the municipality of Muri bei Bern in the canton of Bern, Switzerland.
-
E.
Ochsenfeld
Ochsenfeld is a German surname most notably borne by physicist Robert Ochsenfeld, known for his work on superconductivity.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fa1abc08190bb1d2aa8a662d207 |
completed | May 12, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_6a0390a83840819095534d0ed3ba3142 |
completed | May 12, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03922a2a148190917adab265da0e55 |
completed | May 12, 2026, 8:48 p.m. |
Created at: April 10, 2026, 10:16 a.m.