Triple

T16079732
Position Surface form Disambiguated ID Type / Status
Subject Ostprignitz-Ruppin E390073 entity
Predicate containsSettlement P847 FINISHED
Object Großderschau
Großderschau is a small rural municipality in the Ostprignitz-Ruppin district of the German state of Brandenburg.
E1197531 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: Großderschau | Statement: [Ostprignitz-Ruppin, containsSettlement, Großderschau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großderschau
Context triple: [Ostprignitz-Ruppin, containsSettlement, Großderschau]
  • A. Großgörschen
    Großgörschen is a German place name, likely referring to a village or locality that lends its name to streets such as Großgörschenstraße.
  • B. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • C. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Ückeritz
    Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
  • E. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • 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: Großderschau
Triple: [Ostprignitz-Ruppin, containsSettlement, Großderschau]
Generated description
Großderschau is a small rural municipality in the Ostprignitz-Ruppin district of the German state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Großderschau
Target entity description: Großderschau is a small rural municipality in the Ostprignitz-Ruppin district of the German state of Brandenburg.
  • A. Großgörschen
    Großgörschen is a German place name, likely referring to a village or locality that lends its name to streets such as Großgörschenstraße.
  • B. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • C. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • D. Ückeritz
    Ückeritz is a seaside village and holiday resort on the island of Usedom in northeastern Germany, known for its beaches and natural surroundings.
  • E. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff798c2a48190b6eccd476a0a396f completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff8ecb3d08190b02275f6980e9f0d completed May 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fff94cd32081908205ae383e58d148 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 4:57 a.m.