Triple

T20381294
Position Surface form Disambiguated ID Type / Status
Subject New York Academy of Medicine E497833 entity
Predicate hasAbbreviation P43 FINISHED
Object NYAM
NYAM is a New York City–based institution focused on advancing public health, health equity, and medical knowledge through research, policy, and education.
 E1428238 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: NYAM | Statement: [New York Academy of Medicine, hasAbbreviation, NYAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYAM
Context triple: [New York Academy of Medicine, hasAbbreviation, NYAM]
  • A. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • B. NYL
    NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
  • C. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • D. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • E. NYP
    NYP is the territorial police force responsible for law enforcement and public safety across North Yorkshire in England.
  • 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: NYAM
Triple: [New York Academy of Medicine, hasAbbreviation, NYAM]
Generated description
NYAM is a New York City–based institution focused on advancing public health, health equity, and medical knowledge through research, policy, and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NYAM
Target entity description: NYAM is a New York City–based institution focused on advancing public health, health equity, and medical knowledge through research, policy, and education.
  • A. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • B. NYL
    NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
  • C. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • D. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • E. NYP
    NYP is the territorial police force responsible for law enforcement and public safety across North Yorkshire in England.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b0ee708190bdbe4aab28a61525 completed April 20, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087614b27c8190b5507fc1f2ef2891 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a08778ad444819094ab2194a97091bd completed May 16, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08786c55cc81909d7195602f483d13 completed May 16, 2026, 2 p.m.
Created at: April 16, 2026, 11:27 a.m.