Triple

T16079734
Position Surface form Disambiguated ID Type / Status
Subject Ostprignitz-Ruppin E390073 entity
Predicate containsSettlement P847 FINISHED
Object Rüthnick
Rüthnick is a small municipality in the Ostprignitz-Ruppin district of the German federal state of Brandenburg.
E1212139 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: Rüthnick | Statement: [Ostprignitz-Ruppin, containsSettlement, Rüthnick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüthnick
Context triple: [Ostprignitz-Ruppin, containsSettlement, Rüthnick]
  • A. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Radebeul
    Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
  • D. Schmedenstedt
    Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
  • E. Teuschnitz
    Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian 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: Rüthnick
Triple: [Ostprignitz-Ruppin, containsSettlement, Rüthnick]
Generated description
Rüthnick is a small municipality in the Ostprignitz-Ruppin district of the German federal state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rüthnick
Target entity description: Rüthnick is a small municipality in the Ostprignitz-Ruppin district of the German federal state of Brandenburg.
  • A. Niedenstein
    Niedenstein is a small town in central Germany known for its scenic location near the Habichtswald hills and its traditional half-timbered architecture.
  • B. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • C. Radebeul
    Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
  • D. Schmedenstedt
    Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
  • E. Teuschnitz
    Teuschnitz is a small town in northern Bavaria, Germany, known for its rural setting within the Franconian Forest region.
  • 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_6a003c44fe7c81908eb32c0b0967365f completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003ec3c3c481909f2ad743b3cb486e completed May 10, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a003f300e688190a12352fef2f801f9 completed May 10, 2026, 8:17 a.m.
Created at: April 10, 2026, 4:57 a.m.