Triple

T7553000
Position Surface form Disambiguated ID Type / Status
Subject RUI E178582 entity
Predicate market P1743 FINISHED
Object NYSE Arca E16764 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: NYSE Arca | Statement: [RUI, market, NYSE Arca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYSE Arca
Context triple: [RUI, market, NYSE Arca]
  • A. NYSE Arca chosen
    NYSE Arca is an electronic securities exchange in the United States known for trading exchange-traded funds (ETFs) and equities.
  • B. Xetra
    Xetra is an electronic trading system operated by Deutsche Börse that serves as the primary platform for trading German and other European securities.
  • C. NASDAQ
    NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
  • D. NYSE
    The NYSE (New York Stock Exchange) is one of the world’s largest and most influential stock exchanges, where shares of major public companies are bought and sold.
  • E. Cboe BYX Exchange
    Cboe BYX Exchange is a U.S. equities exchange operated by Cboe Global Markets that offers an alternative, low-cost trading venue with its own distinct market structure and pricing model.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b8165481908285fc9697fe4c99 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f33c968819089fd0a2b07b076a3 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.