Triple

T19384810
Position Surface form Disambiguated ID Type / Status
Subject SIX:CSGN E484905 entity
Predicate exchangeOperator P5623 FINISHED
Object SIX Group NE NERFINISHED

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: SIX Group | Statement: [SIX:CSGN, exchangeOperator, SIX Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIX Group
Context triple: [SIX:CSGN, exchangeOperator, SIX Group]
  • A. Swiss Bank Corporation
    Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
  • B. Credit Suisse
    Credit Suisse is a major global investment bank and financial services firm headquartered in Switzerland, known for its wealth management, investment banking, and asset management operations.
  • C. HSBC Group
    HSBC Group is one of the world’s largest multinational banking and financial services organizations, serving millions of customers across numerous countries and territories.
  • D. SIX Swiss Exchange chosen
    SIX Swiss Exchange is Switzerland’s principal stock exchange, known for listing major Swiss companies and operating as a key financial hub in Europe.
  • E. Deutsche Bank
    Deutsche Bank is a major global investment bank and financial services company headquartered in Frankfurt, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b3ffa548190a060d6e94562a5d2 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:35 p.m.