Triple

T82749
Position Surface form Disambiguated ID Type / Status
Subject Chicago Board Options Exchange E1662 entity
Predicate abbreviation P43 FINISHED
Object CBOE E1662 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: CBOE | Statement: [Chicago Board Options Exchange, abbreviation, CBOE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBOE
Context triple: [Chicago Board Options Exchange, abbreviation, CBOE]
  • A. Chicago Board Options Exchange chosen
    The Chicago Board Options Exchange is a major U.S. options exchange and derivatives marketplace known for pioneering standardized, exchange-traded options.
  • B. Chicago Mercantile Exchange
    The Chicago Mercantile Exchange is a major U.S. derivatives marketplace where futures and options on a wide range of asset classes are traded.
  • C. Chicago Stock Exchange
    The Chicago Stock Exchange is a regional securities exchange in the United States that facilitates the trading of stocks and other financial instruments.
  • D. 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.
  • E. NASDAQ
    NASDAQ is a major American electronic stock exchange known for listing many of the world’s leading technology and growth companies.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4ccb5081908decac81f4af01bf completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266ea53f48190a0a09700697ffd45 completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.