Triple

T9472356
Position Surface form Disambiguated ID Type / Status
Subject Sundern E228422 entity
Predicate hasSubdivision P747 FINISHED
Object Hövel
Hövel is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
E801638 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: Hövel | Statement: [Sundern, hasSubdivision, Hövel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hövel
Context triple: [Sundern, hasSubdivision, Hövel]
  • A. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • B. Bockum-Hövel
    Bockum-Hövel is a district in the city of Hamm in North Rhine-Westphalia, Germany, characterized by its mix of residential areas, local industry, and historical roots as a former independent municipality.
  • C. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
  • D. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • E. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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: Hövel
Triple: [Sundern, hasSubdivision, Hövel]
Generated description
Hövel is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hövel
Target entity description: Hövel is a village-level subdivision of the town of Sundern in the Hochsauerland district of North Rhine-Westphalia, Germany.
  • A. Hademstorf
    Hademstorf is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • B. Bockum-Hövel
    Bockum-Hövel is a district in the city of Hamm in North Rhine-Westphalia, Germany, characterized by its mix of residential areas, local industry, and historical roots as a former independent municipality.
  • C. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
  • D. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • E. Vellinghausen
    Vellinghausen is a village in western Germany known historically as the site of the Battle of Vellinghausen during the Seven Years' War.
  • 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_69d12ce6c7c88190825bf618f1f1f9b5 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12dd80308819099e01ef27e20a49e completed April 4, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69d12e2bf4188190aaf379e49444cb81 completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:54 p.m.