Triple

T14932556
Position Surface form Disambiguated ID Type / Status
Subject Litoměřice E372303 entity
Predicate twinTown P1072 FINISHED
Object Radebeul
Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
E1132863 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: Radebeul | Statement: [Litoměřice, twinTown, Radebeul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radebeul
Context triple: [Litoměřice, twinTown, Radebeul]
  • A. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • B. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • C. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • 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: Radebeul
Triple: [Litoměřice, twinTown, Radebeul]
Generated description
Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Radebeul
Target entity description: Radebeul is a town in the German state of Saxony, known for its wine-growing tradition and association with the writer Karl May.
  • A. Radeberg
    Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
  • B. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • C. Kühnitzsch
    Kühnitzsch is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • D. Riederau
    Riederau is a small lakeside district of Dießen am Ammersee in Bavaria, Germany, known for its scenic location on the shores of Lake Ammersee.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc0fa288190935ddd3ce61f3721 completed May 9, 2026, 2:36 a.m.
NEDg Description generation batch_69fe9eccbc748190b6c6e663d2637b81 completed May 9, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fe9f2ea6f881908edec9e38228fd56 completed May 9, 2026, 2:42 a.m.
Created at: April 10, 2026, 2:37 a.m.