Triple

T793017
Position Surface form Disambiguated ID Type / Status
Subject NYSE Composite E16955 entity
Predicate hasDataVendorCode P19199 FINISHED
Object NYA
NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
 E94134 NE FINISHED

How this triple was built (4 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: NYA | Statement: [NYSE Composite, hasDataVendorCode, NYA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYA
Context triple: [NYSE Composite, hasDataVendorCode, NYA]
  • A. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • B. NYI
    NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
  • C. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NYA
Triple: [NYSE Composite, hasDataVendorCode, NYA]
Generated description
NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NYA
Target entity description: NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • A. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • B. NYI
    NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
  • C. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • D. NH
    NH is the official two-letter United States Postal Service abbreviation for the state of New Hampshire.
  • E. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • F. None of above. chosen

Provenance (5 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9e0f0081909d2a89387d6c08e1 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67880f9608190b0676eb47ea99ca1 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f962c881909884c2af15f41d65 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a67953f2bc8190bbbf8d4ae9c2c3bc completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:38 p.m.