Triple
T16874226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baiersbronn |
E421254
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tonbach
Tonbach is a small village and popular Black Forest holiday resort in southwestern Germany, known for its scenic valley setting and traditional hospitality.
|
E1239116
|
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: Tonbach | Statement: [Baiersbronn, hasPart, Tonbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonbach Context triple: [Baiersbronn, hasPart, Tonbach]
-
A.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
B.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
C.
Velten
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
D.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
E.
Kostheim
Kostheim is a district of the city of Wiesbaden in the German state of Hesse, located on the right bank of the Rhine opposite Mainz.
- 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: Tonbach Triple: [Baiersbronn, hasPart, Tonbach]
Generated description
Tonbach is a small village and popular Black Forest holiday resort in southwestern Germany, known for its scenic valley setting and traditional hospitality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tonbach Target entity description: Tonbach is a small village and popular Black Forest holiday resort in southwestern Germany, known for its scenic valley setting and traditional hospitality.
-
A.
Berkheim
Berkheim is a small municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
B.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
C.
Velten
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
D.
Brannenburg
Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
-
E.
Kostheim
Kostheim is a district of the city of Wiesbaden in the German state of Hesse, located on the right bank of the Rhine opposite Mainz.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b2e67c81908e2313491d16353f |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c332051c8190b086a6e29b8d9c61 |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c4371d7481908ee341415606c0a5 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.