Triple

T22239575
Position Surface form Disambiguated ID Type / Status
Subject Nemax 50 E549683 entity
Predicate segmentOperator P82402 FINISHED
Object Deutsche Börse NE NERFINISHED

How this triple was built (3 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: Deutsche Börse | Statement: [Nemax 50, segmentOperator, Deutsche Börse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Börse
Context triple: [Nemax 50, segmentOperator, Deutsche Börse]
  • A. Deutsche Börse chosen
    Deutsche Börse is a major German financial services company that operates stock exchanges and provides market infrastructure, trading, and clearing services globally.
  • B. Deutscher Börsenverein
    Deutscher Börsenverein is the German Publishers and Booksellers Association, a key industry organization representing the interests of the book trade in Germany.
  • C. Frankfurt Stock Exchange
    The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
  • D. Berliner Börse
    The Berliner Börse was Berlin’s historic stock exchange building, a prominent 19th-century financial and architectural landmark designed by Friedrich Hitzig.
  • E. Mannheim stock exchange
    The Mannheim stock exchange was a regional securities market in Mannheim, Germany, historically significant as an early trading venue for industrial companies such as Benz & Cie.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: segmentOperator
Context triple: [Nemax 50, segmentOperator, Deutsche Börse]
  • A. operatedBySegment
    Indicates that an operation, process, or service is carried out specifically by a particular segment or subsection of a larger system or route.
  • B. involvesOperator
    Indicates that a given process, action, or relationship includes or makes use of a specific operator as a participating element.
  • C. groundSegmentOperator chosen
    Indicates that an entity operates or manages the ground segment infrastructure or services associated with another entity.
  • D. designedOperator
    Indicates that an entity (typically a person or organization) intentionally created or planned the specified operator (such as a function, mechanism, or process) for a particular purpose.
  • E. operatesInSegment
    Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
  • F. None of above.

Provenance (3 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132133b908190b0fb32a5ee68e1e6 completed April 28, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69e71b5177d881908f90abde14ada7dc completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:38 p.m.