Triple

T1049865
Position Surface form Disambiguated ID Type / Status
Subject ADS E22669 entity
Predicate hasMarket P2714 FINISHED
Object Xetra E40943 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: Xetra | Statement: [ADS, hasMarket, Xetra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xetra
Context triple: [ADS, hasMarket, Xetra]
  • A. Xetra chosen
    Xetra is an electronic trading system operated by Deutsche Börse that serves as the primary platform for trading German and other European securities.
  • B. Cboe BZX Exchange
    Cboe BZX Exchange is a U.S. equities exchange operated by Cboe Global Markets, known for its electronic trading platform and competitive pricing structure.
  • C. American Stock Exchange
    The American Stock Exchange was a major U.S. securities exchange known for trading stocks, options, and exchange-traded funds, particularly of smaller and mid-sized companies, before being acquired and rebranded by the New York Stock Exchange.
  • D. New York Stock Exchange
    The New York Stock Exchange is the world’s largest and one of its oldest stock exchanges, serving as a central hub for global equity trading and financial markets.
  • E. NASDAQ
    NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5999d30881909bc9e2d8528b1b56 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:42 p.m.