Triple

T20102830
Position Surface form Disambiguated ID Type / Status
Subject Schwerte E496588 entity
Predicate hasSubdivision P747 FINISHED
Object Westhofen
Westhofen is a district of the town of Schwerte in North Rhine-Westphalia, Germany.
E1412130 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: Westhofen | Statement: [Schwerte, hasSubdivision, Westhofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westhofen
Context triple: [Schwerte, hasSubdivision, Westhofen]
  • A. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • B. Hemhofen
    Hemhofen is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • C. Hückelhoven
    Hückelhoven is a town in western Germany’s North Rhine-Westphalia region, known for its location in the Rhineland and its historical ties to coal mining.
  • D. Ellhofen
    Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
  • E. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • 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: Westhofen
Triple: [Schwerte, hasSubdivision, Westhofen]
Generated description
Westhofen is a district of the town of Schwerte in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Westhofen
Target entity description: Westhofen is a district of the town of Schwerte in North Rhine-Westphalia, Germany.
  • A. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • B. Hemhofen
    Hemhofen is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • C. Hückelhoven
    Hückelhoven is a town in western Germany’s North Rhine-Westphalia region, known for its location in the Rhineland and its historical ties to coal mining.
  • D. Ellhofen
    Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
  • E. Westendorf
    Westendorf is a popular Austrian alpine village known for its skiing, hiking, and picturesque mountain scenery.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082712b04c81908e0413dee9a04ea6 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a082864abdc819080a9822114eb8c25 completed May 16, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a082946da0c81909db45f0989020a17 completed May 16, 2026, 8:22 a.m.
Created at: April 11, 2026, 11:27 p.m.