Triple

T486789
Position Surface form Disambiguated ID Type / Status
Subject Euronext E9895 entity
Predicate owns P347 FINISHED
Object Euronext London 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 London | Statement: [Euronext, owns, Euronext London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euronext London
Context triple: [Euronext, owns, Euronext London]
  • A. London Stock Exchange
    The London Stock Exchange is one of the world’s oldest and largest securities exchanges, serving as a global hub for equity, bond, and derivatives trading.
  • B. 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.
  • 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. 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.
  • E. 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.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0bc6f548190b13dee42cb100423 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a49eb7b49c819098352f36d020cde7 completed March 1, 2026, 8:16 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.