Triple
T22530282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roth district |
E557013
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Büchenbach
Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Nuremberg.
|
E1562883
|
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: Büchenbach | Statement: [Roth district, hasMunicipality, Büchenbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büchenbach Context triple: [Roth district, hasMunicipality, Büchenbach]
-
A.
Büchenbach
Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
-
B.
Vöhrenbach
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
-
C.
Wünschbach
Wünschbach is a small stream in Germany that serves as a tributary of the Weschnitz River.
-
D.
Buchbach
Buchbach is a small municipality located in the Neunkirchen District of the Austrian state of Lower Austria.
-
E.
Grävenwiesbach
Grävenwiesbach is a municipality in the Hochtaunus region of Hesse, Germany, known for its rural character and proximity to the Taunus mountains.
- 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: Büchenbach Triple: [Roth district, hasMunicipality, Büchenbach]
Generated description
Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Nuremberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Büchenbach Target entity description: Büchenbach is a municipality in the Roth district of Bavaria, Germany, known for its rural character and proximity to the city of Nuremberg.
-
A.
Büchenbach
Büchenbach is a district of the Bavarian city of Erlangen, known primarily as a residential area with local amenities and green spaces.
-
B.
Vöhrenbach
Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
-
C.
Wünschbach
Wünschbach is a small stream in Germany that serves as a tributary of the Weschnitz River.
-
D.
Buchbach
Buchbach is a small municipality located in the Neunkirchen District of the Austrian state of Lower Austria.
-
E.
Grävenwiesbach
Grävenwiesbach is a municipality in the Hochtaunus region of Hesse, Germany, known for its rural character and proximity to the Taunus mountains.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed6734881908abbbee477dfab98 |
completed | April 29, 2026, 1:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9fd93e881908c7998b5a8118fad |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcb094b60819090c7550dad826fac |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcb7ccc4881909fe70749449c0e6c |
completed | May 19, 2026, 2:31 a.m. |
Created at: April 16, 2026, 8:51 p.m.