Triple

T10711666
Position Surface form Disambiguated ID Type / Status
Subject Höxter E252551 entity
Predicate hasSubdivision P747 FINISHED
Object Godelheim
Godelheim is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
E897603 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: Godelheim | Statement: [Höxter, hasSubdivision, Godelheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godelheim
Context triple: [Höxter, hasSubdivision, Godelheim]
  • A. Diedorf
    Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
  • B. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne 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: Godelheim
Triple: [Höxter, hasSubdivision, Godelheim]
Generated description
Godelheim is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Godelheim
Target entity description: Godelheim is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • A. Diedorf
    Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
  • B. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • C. Schaafheim
    Schaafheim is a municipality in the state of Hesse in central Germany.
  • D. Bergheim
    Bergheim is a municipality in the Austrian state of Salzburg, located just north of the city of Salzburg and known for its suburban character and proximity to the regional capital.
  • E. Bergheim
    Bergheim is a town in western Germany situated along the Erft River, known for its historical center and proximity to the Cologne 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe523de08190a82c8f057fe8baf6 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e343ffc428819085599f251b7553e5 completed April 18, 2026, 8:42 a.m.
NEDg Description generation batch_69e34fb556648190909c403f5b7709f2 completed April 18, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_69e358f860f08190bfd10519ff3806aa completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:13 p.m.