Triple

T1964787
Position Surface form Disambiguated ID Type / Status
Subject Rosneft E42663 entity
Predicate stockExchange P524 FINISHED
Object Moscow Exchange E22536 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: Moscow Exchange | Statement: [Rosneft, stockExchange, Moscow Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow Exchange
Context triple: [Rosneft, stockExchange, 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. 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.
  • C. Deutsche Börse
    Deutsche Börse is a major German financial services company that operates stock exchanges and provides market infrastructure, trading, and clearing services globally.
  • 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. 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ada4148190ad830d4a3d7fd662 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd52de08190b1df8adb4e2c885d completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.