Triple

T9055473
Position Surface form Disambiguated ID Type / Status
Subject Yuma International Airport E216984 entity
Predicate FAAcode P420 FINISHED
Object NYL
NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
E777251 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: NYL | Statement: [Yuma International Airport, FAAcode, NYL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYL
Context triple: [Yuma International Airport, FAAcode, NYL]
  • A. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • B. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • C. NYN
    NYN is the former stock ticker symbol for NYNEX Corporation, a regional Bell operating telephone company that later became part of Verizon Communications.
  • D. NYI
    NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
  • E. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • 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: NYL
Triple: [Yuma International Airport, FAAcode, NYL]
Generated description
NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NYL
Target entity description: NYL is the FAA location identifier for Yuma International Airport in Yuma, Arizona.
  • A. NYP
    NYP is the abbreviation for the New York Philharmonic, one of the oldest and most renowned symphony orchestras in the United States.
  • B. NYM
    NYM is the standard abbreviation used for the New York Mets, a Major League Baseball team based in New York City.
  • C. NYN
    NYN is the former stock ticker symbol for NYNEX Corporation, a regional Bell operating telephone company that later became part of Verizon Communications.
  • D. NYI
    NYI is the standard abbreviation for the New York Islanders, a professional ice hockey team in the National Hockey League.
  • E. NY6
    NY6 refers to the six premier college football bowl games that form the core of the postseason under the College Football Playoff system.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
NEDg Description generation batch_69d01908d7b08190ab159048f25924d5 completed April 3, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_69d019b9be10819091e25d5b3a8d26c1 completed April 3, 2026, 7:49 p.m.
Created at: March 30, 2026, 7:10 p.m.