Triple

T1001370
Position Surface form Disambiguated ID Type / Status
Subject BA E21609 entity
Predicate hasExchangeMIC P524 FINISHED
Object XNYS E14673 NE FINISHED

How this triple was built (3 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: XNYS | Statement: [BA, hasExchangeMIC, XNYS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XNYS
Context triple: [BA, hasExchangeMIC, XNYS]
  • A. XNYS chosen
    XNYS is the ISO 10383 Market Identifier Code (MIC) for the New York Stock Exchange, one of the largest and most influential stock exchanges in the world.
  • B. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • C. NYI
    NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
  • D. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • E. Yonkers, New York
    Yonkers, New York is a major suburban city just north of New York City, known for its historic waterfront, diverse neighborhoods, and role as one of the largest cities in the state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasExchangeMIC
Context triple: [BA, hasExchangeMIC, XNYS]
  • A. hasMIC
    Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
  • B. isMICFor
    Indicates that one entity represents the minimum inhibitory concentration (MIC) value determined for another entity, typically a microorganism or drug.
  • C. hasStockExchange chosen
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • D. hasTrade
    Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
  • E. hasElectronicTradingSystem
    Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
  • F. None of above.

Provenance (4 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4fcbc04819098d2125518f62ae7 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a1cb4f08190b1351aadd57c3bda completed March 7, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a4b2b1f4f88190822598cfd2a0fd2b completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.