Triple

T14495612
Position Surface form Disambiguated ID Type / Status
Subject Arnsberg E359488 entity
Predicate hasSubdivision P747 FINISHED
Object Niedereimer
Niedereimer is a district of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
E1103673 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: Niedereimer | Statement: [Arnsberg, hasSubdivision, Niedereimer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niedereimer
Context triple: [Arnsberg, hasSubdivision, Niedereimer]
  • A. La Meinau
    La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
  • B. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • C. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • 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: Niedereimer
Triple: [Arnsberg, hasSubdivision, Niedereimer]
Generated description
Niedereimer is a district of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Niedereimer
Target entity description: Niedereimer is a district of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • A. La Meinau
    La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
  • B. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • C. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de93109cb081909a6e846db23a4635 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9731588190b27a826582e5fc6d completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f80e3a081908c43915275898852 completed May 8, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd7016a3c48190a1ea2fefeea92c60 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:21 a.m.