Triple

T21002192
Position Surface form Disambiguated ID Type / Status
Subject RTSI E517320 entity
Predicate tracksExchange P17929 FINISHED
Object Moscow Exchange 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: Moscow Exchange | Statement: [RTSI, tracksExchange, Moscow Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Exchange
Context triple: [RTSI, tracksExchange, Moscow Exchange]
  • A. Moscow Exchange chosen
    Moscow Exchange is Russia’s largest securities and derivatives trading platform, providing markets for equities, bonds, currencies, money market instruments, and commodities.
  • B. Königsberg Stock Exchange
    The Königsberg Stock Exchange was a prominent 18th-century commercial and financial building in Königsberg, Prussia, known for its neoclassical architecture.
  • 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. Belgrade Stock Exchange
    The Belgrade Stock Exchange is Serbia’s primary securities exchange, serving as the central marketplace for trading stocks, bonds, and other financial instruments in the country.
  • E. Bourse de Paris
    Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc38b8688190860fba1b58e1b3e6 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.