Triple

T12877883
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Schönwölkau
Schönwölkau is a small municipality in the state of Saxony in eastern Germany, situated within the wider Leipzig metropolitan area.
E1013718 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: Schönwölkau | Statement: [Leipzig metropolitan region, containsCity, Schönwölkau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schönwölkau
Context triple: [Leipzig metropolitan region, containsCity, Schönwölkau]
  • A. Heuckewalde
    Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
  • B. Wehretal
    Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
  • C. Fuchstal
    Fuchstal is a municipality in the Bavarian region of Germany, known for its rural character and location within the district of Weilheim-Schongau.
  • D. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • 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: Schönwölkau
Triple: [Leipzig metropolitan region, containsCity, Schönwölkau]
Generated description
Schönwölkau is a small municipality in the state of Saxony in eastern Germany, situated within the wider Leipzig metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schönwölkau
Target entity description: Schönwölkau is a small municipality in the state of Saxony in eastern Germany, situated within the wider Leipzig metropolitan area.
  • A. Heuckewalde
    Heuckewalde is a small municipality in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan region.
  • B. Wehretal
    Wehretal is a small municipality in the Werra-Meißner district of northern Hesse, Germany, known for its rural character and location in the Werra valley.
  • C. Fuchstal
    Fuchstal is a municipality in the Bavarian region of Germany, known for its rural character and location within the district of Weilheim-Schongau.
  • D. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • E. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • 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.