Triple

T1144134
Position Surface form Disambiguated ID Type / Status
Subject BEL 20 E23524 entity
Predicate operator P179 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: [BEL 20, operator, Euronext]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euronext
Context triple: [BEL 20, operator, 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. Deutsche Börse
    Deutsche Börse is a major German financial services company that operates stock exchanges and provides market infrastructure, trading, and clearing services globally.
  • E. Nasdaq Helsinki
    Nasdaq Helsinki is Finland’s primary stock exchange, hosting the trading of major Finnish companies and other securities.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc5008d8819095c1ffb5db5b4911 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacacf7c4819089708cf61b89903c completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:44 p.m.