Triple
T6624551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brackenheim |
E149761
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Dürrenzimmern
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
|
E641373
|
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: Dürrenzimmern | Statement: [Brackenheim, hasSubdivision, Dürrenzimmern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dürrenzimmern Context triple: [Brackenheim, hasSubdivision, Dürrenzimmern]
-
A.
Diedenhofen
Diedenhofen is the historical German name for the town of Thionville in northeastern France, near the border with Luxembourg and Germany.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
D.
Dörflingen
Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
-
E.
Ostermundigen
Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
- 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: Dürrenzimmern Triple: [Brackenheim, hasSubdivision, Dürrenzimmern]
Generated description
Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dürrenzimmern Target entity description: Dürrenzimmern is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
A.
Diedenhofen
Diedenhofen is the historical German name for the town of Thionville in northeastern France, near the border with Luxembourg and Germany.
-
B.
Tussenhausen
Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
-
C.
Kirchlindach
Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
-
D.
Dörflingen
Dörflingen is a small municipality in the canton of Schaffhausen in northern Switzerland, situated near the German border along the Rhine.
-
E.
Ostermundigen
Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7fc054819099a2e58cefd8fed7 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c73b2d88190b902b91889eebecd |
completed | March 28, 2026, 9:16 a.m. |
| NEDg | Description generation | batch_69c79cf33734819088aba151a37d27f6 |
completed | March 28, 2026, 9:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79d7416c48190a2d47490eed0d6c1 |
completed | March 28, 2026, 9:20 a.m. |
Created at: March 27, 2026, 1:58 p.m.