Triple

T10587230
Position Surface form Disambiguated ID Type / Status
Subject Kulmbach district E249884 entity
Predicate hasMunicipality P847 FINISHED
Object Leuchau
Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
E905003 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: Leuchau | Statement: [Kulmbach district, hasMunicipality, Leuchau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leuchau
Context triple: [Kulmbach district, hasMunicipality, Leuchau]
  • A. Reichenberg
    Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
  • B. Premnitz
    Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
  • C. Mitterau
    Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
  • D. Schwarzach
    Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
  • E. Schwarzach
    Schwarzach is a municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting in the Bavarian Forest 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: Leuchau
Triple: [Kulmbach district, hasMunicipality, Leuchau]
Generated description
Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leuchau
Target entity description: Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
  • A. Reichenberg
    Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
  • B. Premnitz
    Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
  • C. Mitterau
    Mitterau is a district of the Austrian city of Krems an der Donau, located in the state of Lower Austria.
  • D. Schwarzach
    Schwarzach is a municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting in the Bavarian Forest region.
  • E. Schwarzach
    Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5276b0ae48190b2935230363239e0 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d448fac81909137b0a0ed9b976e completed April 19, 2026, 1:17 a.m.
NEDg Description generation batch_69e42e67724481908bd9e73487a80d44 completed April 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69e4308103c48190b32ee3047d9a0860 completed April 19, 2026, 1:31 a.m.
Created at: April 6, 2026, 12:39 p.m.