Triple

T12877811
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Kretzschau
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
E1128671 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: Kretzschau | Statement: [Leipzig metropolitan region, containsCity, Kretzschau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kretzschau
Context triple: [Leipzig metropolitan region, containsCity, Kretzschau]
  • A. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • B. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • C. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • D. Riesa
    Riesa is a town in the German state of Saxony, situated on the Elbe River and known historically as an important regional railway and industrial center.
  • E. Claußnitz
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • 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: Kretzschau
Triple: [Leipzig metropolitan region, containsCity, Kretzschau]
Generated description
Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kretzschau
Target entity description: Kretzschau is a small municipality in the German state of Saxony-Anhalt that forms part of the wider Leipzig metropolitan area.
  • A. Geringswalde
    Geringswalde is a small town in the Free State of Saxony in eastern Germany, known for its rural character and location within the Central Saxon region.
  • B. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • C. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • D. Riesa
    Riesa is a town in the German state of Saxony, situated on the Elbe River and known historically as an important regional railway and industrial center.
  • E. Claußnitz
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • 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_69fe7e70dc788190850278a40a5a62e4 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe803875988190a4786db4ae0b0cbb completed May 9, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 9, 2026, 5:38 p.m.