Triple

T9472352
Position Surface form Disambiguated ID Type / Status
Subject Sundern E228422 entity
Predicate hasSubdivision P747 FINISHED
Object Amecke
Amecke is a village and district of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
E800254 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: Amecke | Statement: [Sundern, hasSubdivision, Amecke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amecke
Context triple: [Sundern, hasSubdivision, Amecke]
  • A. Weyts
    Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
  • B. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • C. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • D. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • E. De Croo
    De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
  • 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: Amecke
Triple: [Sundern, hasSubdivision, Amecke]
Generated description
Amecke is a village and district of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amecke
Target entity description: Amecke is a village and district of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • A. Weyts
    Weyts is a Dutch-language surname of Belgian origin, notably borne by Flemish politician Ben Weyts.
  • B. Boesinghe
    Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
  • C. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • D. Michelbeke
    Michelbeke is a village in the municipality of Brakel in East Flanders, Belgium, known for its rural character and cycling-friendly landscape.
  • E. De Croo
    De Croo is a Belgian political family name most prominently associated with Alexander De Croo, the Prime Minister of Belgium.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12350baa08190b08f619391acbd75 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123af901c819098bb1401846f0daf completed April 4, 2026, 2:43 p.m.
Created at: March 30, 2026, 7:54 p.m.