Triple

T3714471
Position Surface form Disambiguated ID Type / Status
Subject Rammenau E81492 entity
Predicate locatedNear P294 FINISHED
Object Bischofswerda
Bischofswerda is a small town in the Saxony region of eastern Germany, known as a local commercial and transport hub near the city of Dresden.
E479256 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: Bischofswerda | Statement: [Rammenau, locatedNear, Bischofswerda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bischofswerda
Context triple: [Rammenau, locatedNear, Bischofswerda]
  • A. Riesa
    Riesa is a town in the German state of Saxony, situated on the Elbe River and known historically as an important regional railway and industrial center.
  • B. Liebenwalde
    Liebenwalde is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • C. Zittau
    Zittau is a historic town in the southeastern corner of Germany, known for its proximity to both the Czech and Polish borders and its well-preserved medieval architecture.
  • D. Neukieritzsch
    Neukieritzsch is a small municipality in the German state of Saxony, situated south of Leipzig and known historically as a local railway junction.
  • E. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • 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: Bischofswerda
Triple: [Rammenau, locatedNear, Bischofswerda]
Generated description
Bischofswerda is a small town in the Saxony region of eastern Germany, known as a local commercial and transport hub near the city of Dresden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bischofswerda
Target entity description: Bischofswerda is a small town in the Saxony region of eastern Germany, known as a local commercial and transport hub near the city of Dresden.
  • A. Riesa
    Riesa is a town in the German state of Saxony, situated on the Elbe River and known historically as an important regional railway and industrial center.
  • B. Liebenwalde
    Liebenwalde is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • C. Zittau
    Zittau is a historic town in the southeastern corner of Germany, known for its proximity to both the Czech and Polish borders and its well-preserved medieval architecture.
  • D. Neukieritzsch
    Neukieritzsch is a small municipality in the German state of Saxony, situated south of Leipzig and known historically as a local railway junction.
  • E. Bautzen
    Bautzen is a historic town in eastern Germany known for its well-preserved medieval architecture and as a cultural center of the Sorbian minority.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ce253c8190ada8eaa395fd3d5c completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6f7ccdf4819099dbfcad566293ea completed March 21, 2026, 10:14 a.m.
NEDg Description generation batch_69be71e51e2c81908ba671506e931fd2 completed March 21, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69be7236cb6481908c130b4f33fb79a0 completed March 21, 2026, 10:25 a.m.
Created at: March 8, 2026, 3:33 p.m.