Triple

T12877842
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Gößnitz
Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
 E1013717 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: Gößnitz | Statement: [Leipzig metropolitan region, containsCity, Gößnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gößnitz
Context triple: [Leipzig metropolitan region, containsCity, Gößnitz]
  • A. Brünnlitz
    Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
  • B. Schemnitz
    Schemnitz is the historical German name for Banská Štiavnica, a renowned medieval mining town in central Slovakia.
  • C. 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.
  • D. Harrachsdorf
    Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
  • E. Leuchau
    Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
  • 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: Gößnitz
Triple: [Leipzig metropolitan region, containsCity, Gößnitz]
Generated description
Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gößnitz
Target entity description: Gößnitz is a small town in the German state of Thuringia that lies within the broader Leipzig metropolitan area.
  • A. Brünnlitz
    Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
  • B. Schemnitz
    Schemnitz is the historical German name for Banská Štiavnica, a renowned medieval mining town in central Slovakia.
  • C. 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.
  • D. Harrachsdorf
    Harrachsdorf is the German name for Harrachov, a mountain town and ski resort in the Krkonoše (Giant) Mountains of the Czech Republic.
  • E. Leuchau
    Leuchau is a small municipality located in the Kulmbach district of northern Bavaria, Germany.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ccee708190bb4caa604386e3a3 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6bafee83c819096469034ca32ff7d completed May 3, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 5:38 p.m.