Triple

T14495608
Position Surface form Disambiguated ID Type / Status
Subject Arnsberg E359488 entity
Predicate hasSubdivision P747 FINISHED
Object Oeventrop
Oeventrop is a village and district of the city of Arnsberg in North Rhine-Westphalia, Germany, situated in the Sauerland region.
 E1103670 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: Oeventrop | Statement: [Arnsberg, hasSubdivision, Oeventrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oeventrop
Context triple: [Arnsberg, hasSubdivision, Oeventrop]
  • A. Opoeteren
    Opoeteren is a village in the Belgian province of Limburg that now forms part of the municipality of Maaseik.
  • B. Everschop
    Everschop was a former historical region or administrative unit that later became part of the Eiderstedt peninsula in northern Germany.
  • C. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • D. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • E. Overschie
    Overschie is a historic neighborhood and former village now incorporated into the city of Rotterdam in the Netherlands.
  • 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: Oeventrop
Triple: [Arnsberg, hasSubdivision, Oeventrop]
Generated description
Oeventrop is a village and district of the city of Arnsberg in North Rhine-Westphalia, Germany, situated in the Sauerland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oeventrop
Target entity description: Oeventrop is a village and district of the city of Arnsberg in North Rhine-Westphalia, Germany, situated in the Sauerland region.
  • A. Opoeteren
    Opoeteren is a village in the Belgian province of Limburg that now forms part of the municipality of Maaseik.
  • B. Everschop
    Everschop was a former historical region or administrative unit that later became part of the Eiderstedt peninsula in northern Germany.
  • C. Oppeano
    Oppeano is a municipality in northern Italy’s Veneto region, historically associated with the ancient Veneti people.
  • D. Krolloper
    Krolloper was a historic Berlin theater and opera house known for its innovative productions and its role as the meeting place of the Reichstag during the Weimar Republic.
  • E. Overschie
    Overschie is a historic neighborhood and former village now incorporated into the city of Rotterdam in the Netherlands.
  • 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.