Triple
T9868320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braunfels |
E239890
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Bonbaden
Bonbaden is a village and district within the town of Braunfels in the state of Hesse, Germany.
|
E827088
|
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: Bonbaden | Statement: [Braunfels, hasSubdivision, Bonbaden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonbaden Context triple: [Braunfels, hasSubdivision, Bonbaden]
-
A.
Blankenheim
Blankenheim is a municipality in western Germany, known for its historic town center and location in the Eifel region of North Rhine-Westphalia.
-
B.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
C.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
-
D.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
-
E.
Amöneburg
Amöneburg is a district of the city of Wiesbaden in the German state of Hesse, situated along the Rhine River and known for its industrial and residential areas.
- 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: Bonbaden Triple: [Braunfels, hasSubdivision, Bonbaden]
Generated description
Bonbaden is a village and district within the town of Braunfels in the state of Hesse, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonbaden Target entity description: Bonbaden is a village and district within the town of Braunfels in the state of Hesse, Germany.
-
A.
Blankenheim
Blankenheim is a municipality in western Germany, known for its historic town center and location in the Eifel region of North Rhine-Westphalia.
-
B.
Brackenheim
Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
-
C.
Markbronn
Markbronn is a village in the German state of Baden-Württemberg that forms part of the municipality of Blaustein near Ulm.
-
D.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
-
E.
Amöneburg
Amöneburg is a district of the city of Wiesbaden in the German state of Hesse, situated along the Rhine River and known for its industrial and residential areas.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d34e4c81908c0fc14dd6d015cc |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e45add0481909a0416035054a563 |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e62832b081908de7872f62505f6c |
completed | April 5, 2026, 4:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e69041e881909fc31e35e9bfc4f3 |
completed | April 5, 2026, 4:35 a.m. |
Created at: March 30, 2026, 8:36 p.m.