Triple

T1992559
Position Surface form Disambiguated ID Type / Status
Subject Weser Uplands E43282 entity
Predicate contains P35 FINISHED
Object Höxter
Höxter is a historic town in eastern North Rhine-Westphalia, Germany, known for its location on the River Weser and proximity to the UNESCO-listed Corvey Abbey.
 E252551 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: Höxter | Statement: [Weser Uplands, contains, Höxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Höxter
Context triple: [Weser Uplands, contains, Höxter]
  • A. Hildesheim
    Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • C. Herford
    Herford is a historic town in northwestern Germany known for its medieval architecture and location in the region of North Rhine-Westphalia.
  • D. Rudolfswerth
    Rudolfswerth is the former German name for Novo Mesto, a historic town in southeastern Slovenia known for its medieval heritage and role as a regional cultural center.
  • E. Braunschweig
    Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
  • 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: Höxter
Triple: [Weser Uplands, contains, Höxter]
Generated description
Höxter is a historic town in eastern North Rhine-Westphalia, Germany, known for its location on the River Weser and proximity to the UNESCO-listed Corvey Abbey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Höxter
Target entity description: Höxter is a historic town in eastern North Rhine-Westphalia, Germany, known for its location on the River Weser and proximity to the UNESCO-listed Corvey Abbey.
  • A. Hildesheim
    Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
  • B. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • C. Herford
    Herford is a historic town in northwestern Germany known for its medieval architecture and location in the region of North Rhine-Westphalia.
  • D. Rudolfswerth
    Rudolfswerth is the former German name for Novo Mesto, a historic town in southeastern Slovenia known for its medieval heritage and role as a regional cultural center.
  • E. Braunschweig
    Braunschweig is a historic city in northern Germany known for its medieval architecture, cultural institutions, and role as an important economic and scientific center.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86275c88190bed869e9d3cf7ed5 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ee4b678819097da9363e032a670 completed March 9, 2026, 8:03 a.m.
NEDg Description generation batch_69ae7fee12ac8190bb9924f7467434a6 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae8061cd348190b0b0b65dcf730f99 completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:37 p.m.