Triple
T12385499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlangen-Höchstadt |
E295851
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Bubenreuth
Bubenreuth is a Bavarian municipality renowned for its post-war tradition of stringed instrument making, particularly violins and guitars.
|
E1027754
|
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: Bubenreuth | Statement: [Erlangen-Höchstadt, containsMunicipality, Bubenreuth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubenreuth Context triple: [Erlangen-Höchstadt, containsMunicipality, Bubenreuth]
-
A.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
-
B.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
Kunreuth
Kunreuth is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and historic castle.
-
D.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
-
E.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
- 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: Bubenreuth Triple: [Erlangen-Höchstadt, containsMunicipality, Bubenreuth]
Generated description
Bubenreuth is a Bavarian municipality renowned for its post-war tradition of stringed instrument making, particularly violins and guitars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bubenreuth Target entity description: Bubenreuth is a Bavarian municipality renowned for its post-war tradition of stringed instrument making, particularly violins and guitars.
-
A.
Burgkirchen
Burgkirchen is a municipality in southeastern Bavaria, Germany, known for its location in the rural, industrially influenced region near the Austrian border.
-
B.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
C.
Kunreuth
Kunreuth is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and historic castle.
-
D.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
-
E.
Lauterhofen
Lauterhofen is a market town in Bavaria, Germany, known for its rural character and location within the Upper Palatinate region.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef6c34481909e18bce1154e7146 |
completed | May 3, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_69f70045f580819099e840d55253ecb5 |
completed | May 3, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f700cfb43881909c903ec12b15065a |
completed | May 3, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:54 p.m.