Triple

T10824973
Position Surface form Disambiguated ID Type / Status
Subject Blue Wonder bridge E255473 entity
Predicate connects P390 FINISHED
Object Blasewitz
Blasewitz is a historic and affluent district of Dresden, Germany, known for its riverside villas and location along the Elbe River.
 E888256 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: Blasewitz | Statement: [Blue Wonder bridge, connects, Blasewitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blasewitz
Context triple: [Blue Wonder bridge, connects, Blasewitz]
  • A. Seelitz
    Seelitz is a municipality in the Free State of Saxony in eastern Germany, known for its rural character and location within the Mittelsachsen region.
  • B. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Langendorf
    Langendorf is a municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
  • E. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • 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: Blasewitz
Triple: [Blue Wonder bridge, connects, Blasewitz]
Generated description
Blasewitz is a historic and affluent district of Dresden, Germany, known for its riverside villas and location along the Elbe River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blasewitz
Target entity description: Blasewitz is a historic and affluent district of Dresden, Germany, known for its riverside villas and location along the Elbe River.
  • A. Seelitz
    Seelitz is a municipality in the Free State of Saxony in eastern Germany, known for its rural character and location within the Mittelsachsen region.
  • B. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Langendorf
    Langendorf is a municipality in the Weißenfels area of Saxony-Anhalt in eastern Germany.
  • E. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.