Triple

T2188573
Position Surface form Disambiguated ID Type / Status
Subject Bertelsmann E49808 entity
Predicate owns P347 FINISHED
Object Arvato
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
 E242298 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: Arvato | Statement: [Bertelsmann, owns, Arvato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arvato
Context triple: [Bertelsmann, owns, Arvato]
  • A. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • B. Empa
    Empa is a Swiss federal research institute focused on materials science and technology, known for developing innovative solutions for industry and society.
  • C. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • D. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • E. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • 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: Arvato
Triple: [Bertelsmann, owns, Arvato]
Generated description
Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arvato
Target entity description: Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
  • A. Breda
    Breda is a historic city in the southern Netherlands known for its medieval architecture, former status as a military and political center, and vibrant cultural life.
  • B. Empa
    Empa is a Swiss federal research institute focused on materials science and technology, known for developing innovative solutions for industry and society.
  • C. Bohle
    Bohle is a German surname most notably associated with Ernst Wilhelm Bohle, a high-ranking Nazi official and leader of the party’s foreign organization.
  • D. Atzerodt
    Atzerodt is the surname of George Atzerodt, a German-born conspirator involved in the plot to assassinate U.S. President Abraham Lincoln.
  • E. Starnberg
    Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf373c608190b7716c137b3e9fe9 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e5fe37c8190bcf73200d32f5faa completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ed1e3208190b46d5e8361c2a5f6 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.