Triple

T17174240
Position Surface form Disambiguated ID Type / Status
Subject Rheden E416816 entity
Predicate contains P35 FINISHED
Object Worth-Rheden
Worth-Rheden is a locality within the Dutch municipality of Rheden in the province of Gelderland, known for its position along the IJssel River and proximity to the Veluwezoom National Park.
E1254502 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: Worth-Rheden | Statement: [Rheden, contains, Worth-Rheden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worth-Rheden
Context triple: [Rheden, contains, Worth-Rheden]
  • A. Rheindahlen
    Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
  • B. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • C. Rheinwald
    Rheinwald is a remote alpine valley region in southeastern Switzerland known for its dramatic mountain scenery and traditional villages.
  • D. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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: Worth-Rheden
Triple: [Rheden, contains, Worth-Rheden]
Generated description
Worth-Rheden is a locality within the Dutch municipality of Rheden in the province of Gelderland, known for its position along the IJssel River and proximity to the Veluwezoom National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Worth-Rheden
Target entity description: Worth-Rheden is a locality within the Dutch municipality of Rheden in the province of Gelderland, known for its position along the IJssel River and proximity to the Veluwezoom National Park.
  • A. Rheindahlen
    Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
  • B. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • C. Rheinwald
    Rheinwald is a remote alpine valley region in southeastern Switzerland known for its dramatic mountain scenery and traditional villages.
  • D. Benrath
    Benrath is a German surname most notably associated with the late actor Martin Benrath.
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a4fdcf081908be68b1eda2066df completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014adf25808190ad712fbd7560e91d completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.