Triple

T490592
Position Surface form Disambiguated ID Type / Status
Subject LaGuardia Airport E9979 entity
Predicate IATAcode P418 FINISHED
Object LGA
LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
 E61301 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: LGA | Statement: [LaGuardia Airport, IATAcode, LGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LGA
Context triple: [LaGuardia Airport, IATAcode, LGA]
  • A. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • B. TGL
    TGL is a tech-infused, primetime golf league co-founded by Tiger Woods and Rory McIlroy that features team-based competition in an indoor arena setting.
  • C. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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: LGA
Triple: [LaGuardia Airport, IATAcode, LGA]
Generated description
LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LGA
Target entity description: LGA is the three-letter IATA airport code for LaGuardia Airport, a major commercial airport serving New York City.
  • A. LAK
    LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
  • B. TGL
    TGL is a tech-infused, primetime golf league co-founded by Tiger Woods and Rory McIlroy that features team-based competition in an indoor arena setting.
  • C. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e22a308190b04d12974fd08a38 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4778034fc8190bedcc537fed5cef9 completed March 1, 2026, 5:29 p.m.
NEDg Description generation batch_69a4789d8f8081908ed56a780d5e62b3 completed March 1, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69a4790ff80481909596be35d493f6d1 completed March 1, 2026, 5:36 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.