Triple

T9791050
Position Surface form Disambiguated ID Type / Status
Subject BSX E237607 entity
Predicate hasExchangeMic P42395 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: [BSX, hasExchangeMic, XNYS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XNYS
Context triple: [BSX, 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. N.D.N.Y.
    N.D.N.Y. is the standard abbreviation for the United States District Court for the Northern District of New York, a federal trial court within the Second Circuit.
  • C. NYSA
    NYSA is the commonly used abbreviation for the New York State Archives, the official repository for New York State government records and historical documents.
  • D. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • E. NYSP
    NYSP is the primary statewide law enforcement agency responsible for policing and public safety across New York 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: [BSX, hasExchangeMic, XNYS]
  • A. hasMIC
    Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
  • B. hasMicrophones
    Indicates that one entity possesses, includes, or is equipped with one or more microphones.
  • C. isMICFor
    Indicates that one entity represents the minimum inhibitory concentration (MIC) value determined for another entity, typically a microorganism or drug.
  • D. hasOperatingMIC chosen
    Indicates that an entity operates or manages a specific MIC (Market Identifier Code) in a financial or trading context.
  • E. usesEchoCancellation
    Indicates that an entity employs echo cancellation techniques to reduce or eliminate echo in audio communication.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
PD Predicate disambiguation batch_69cd03d77c6c81909b675955bf113320 completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:28 p.m.