Triple

T20862247
Position Surface form Disambiguated ID Type / Status
Subject Teltow-Fläming E513648 entity
Predicate borderedBy P224 FINISHED
Object Elbe-Elster
Elbe-Elster is a rural district in the southern part of the German state of Brandenburg, named after the Elbe and Schwarze Elster rivers.
E1454274 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: Elbe-Elster | Statement: [Teltow-Fläming, borderedBy, Elbe-Elster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbe-Elster
Context triple: [Teltow-Fläming, borderedBy, Elbe-Elster]
  • A. Elbsche
    Elbsche is a small river in North Rhine-Westphalia, Germany, that flows through the city of Witten and its surrounding region.
  • B. Vogtland
    Vogtland is a hilly, historically rich region in central Europe spanning parts of Saxony, Thuringia, Bavaria, and the Czech Republic, known for its musical instrument making and scenic landscapes.
  • C. Hohenelbe
    Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
  • D. Herzberg (Elster)
    Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
  • E. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • 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: Elbe-Elster
Triple: [Teltow-Fläming, borderedBy, Elbe-Elster]
Generated description
Elbe-Elster is a rural district in the southern part of the German state of Brandenburg, named after the Elbe and Schwarze Elster rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elbe-Elster
Target entity description: Elbe-Elster is a rural district in the southern part of the German state of Brandenburg, named after the Elbe and Schwarze Elster rivers.
  • A. Elbsche
    Elbsche is a small river in North Rhine-Westphalia, Germany, that flows through the city of Witten and its surrounding region.
  • B. Vogtland
    Vogtland is a hilly, historically rich region in central Europe spanning parts of Saxony, Thuringia, Bavaria, and the Czech Republic, known for its musical instrument making and scenic landscapes.
  • C. Hohenelbe
    Hohenelbe is the German name for the Czech town of Vrchlabí, a gateway to the Krkonoše (Giant) Mountains region.
  • D. Herzberg (Elster)
    Herzberg (Elster) is a small town in the state of Brandenburg in eastern Germany, known for its historic architecture and location along the Black Elster river.
  • E. Wülknitz
    Wülknitz is a small municipality in the German state of Saxony that forms part of the broader Leipzig metropolitan area.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3ad3d1c8190be2fe35a85f2447c completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0f5c088190a2db09ce9ecbfcc3 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bc252dc8190a96a98b2160826b5 completed May 17, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:44 p.m.