Triple

T8329152
Position Surface form Disambiguated ID Type / Status
Subject SX5E E195031 entity
Predicate parentOrganization P254 FINISHED
Object Deutsche Börse Group E129616 NE FINISHED

How this triple was built (2 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 Group | Statement: [SX5E, parentOrganization, Deutsche Börse Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deutsche Börse Group
Context triple: [SX5E, parentOrganization, Deutsche Börse Group]
  • 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. 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.
  • C. SIX Swiss Exchange
    SIX Swiss Exchange is Switzerland’s principal stock exchange, known for listing major Swiss companies and operating as a key financial hub in Europe.
  • D. 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.
  • E. Commerzbank AG
    Commerzbank AG is a major German commercial bank headquartered in Frankfurt, known as one of the country’s leading financial institutions serving corporate, institutional, and retail clients.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc70723a48190a3e33908fc84fe59 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:56 p.m.