Triple

T1654768
Position Surface form Disambiguated ID Type / Status
Subject Saalekreis E35772 entity
Predicate contains P35 FINISHED
Object Braunsbedra
Braunsbedra is a small town in the Saalekreis district of Saxony-Anhalt in central Germany, known for its location in a former lignite mining area now characterized by lakes and recultivated landscapes.
E187000 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: Braunsbedra | Statement: [Saalekreis, contains, Braunsbedra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunsbedra
Context triple: [Saalekreis, contains, Braunsbedra]
  • A. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • D. Rammenau
    Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
  • E. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • 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: Braunsbedra
Triple: [Saalekreis, contains, Braunsbedra]
Generated description
Braunsbedra is a small town in the Saalekreis district of Saxony-Anhalt in central Germany, known for its location in a former lignite mining area now characterized by lakes and recultivated landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Braunsbedra
Target entity description: Braunsbedra is a small town in the Saalekreis district of Saxony-Anhalt in central Germany, known for its location in a former lignite mining area now characterized by lakes and recultivated landscapes.
  • A. Braunlage
    Braunlage is a German town and ski resort in the Harz Mountains, known for its winter sports, hiking opportunities, and scenic natural surroundings.
  • B. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • C. Breselenz
    Breselenz is a small village in Lower Saxony, Germany, best known as the birthplace of the mathematician Bernhard Riemann.
  • D. Rammenau
    Rammenau is a village in Saxony, Germany, best known as the birthplace of the influential German philosopher Johann Gottlieb Fichte.
  • E. Baumwerder
    Baumwerder is a small island located in Tegeler See, a lake in the Berlin district of Reinickendorf, Germany.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ad3bb48190a096ff7813748168 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:29 p.m.