Triple

T5894066
Position Surface form Disambiguated ID Type / Status
Subject XBRU E131060 entity
Predicate operatedBy P86 FINISHED
Object Euronext E9895 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: Euronext | Statement: [XBRU, operatedBy, Euronext]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euronext
Context triple: [XBRU, operatedBy, Euronext]
  • A. Euronext chosen
    Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
  • B. Amsterdam Stock Exchange
    The Amsterdam Stock Exchange is one of the world’s oldest organized securities markets, historically pivotal in the development of modern finance and global trade.
  • 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. 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.
  • E. Deutsche Börse
    Deutsche Börse is a major German financial services company that operates stock exchanges and provides market infrastructure, trading, and clearing services globally.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f220dc8190ad553d33de4e2ecd completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c000dfb481908cf37e5c143f4cae completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.