Triple
T10690195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lichtenfels district |
E251989
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Marktzeuln
Marktzeuln is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its historic Franconian architecture and riverside setting.
|
E879249
|
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: Marktzeuln | Statement: [Lichtenfels district, hasMunicipality, Marktzeuln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marktzeuln Context triple: [Lichtenfels district, hasMunicipality, Marktzeuln]
-
A.
Obermarkt
Obermarkt is the historic main market square of Freiberg, known for its medieval architecture and central role in the city's public life.
-
B.
Obermarkt
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
C.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
E.
Bleidenstadt
Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
- 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: Marktzeuln Triple: [Lichtenfels district, hasMunicipality, Marktzeuln]
Generated description
Marktzeuln is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its historic Franconian architecture and riverside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marktzeuln Target entity description: Marktzeuln is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its historic Franconian architecture and riverside setting.
-
A.
Obermarkt
Obermarkt is the historic main market square of Freiberg, known for its medieval architecture and central role in the city's public life.
-
B.
Obermarkt
Obermarkt is a historic central market square in the city of Görlitz, Germany, known for its well-preserved architecture and role as a focal point of urban life.
-
C.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Münklingen
Münklingen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
E.
Bleidenstadt
Bleidenstadt is a district of the town of Taunusstein in the Rheingau-Taunus region of Hesse, Germany, known for its historic church and small-town character.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd1c0f0081908a6869ee756ec789 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988a59d6c8190a0e170acfb3af6da |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:11 p.m.