Triple

T679021
Position Surface form Disambiguated ID Type / Status
Subject Idlewild Airport E13140 entity
Predicate IATAcode P418 FINISHED
Object IDL
IDL was the former IATA airport code for New York City's Idlewild Airport, now known as John F. Kennedy International Airport.
E83501 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: IDL | Statement: [Idlewild Airport, IATAcode, IDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IDL
Context triple: [Idlewild Airport, IATAcode, IDL]
  • A. IEDL
    IEDL is the standard abbreviation for IEEE Electron Device Letters, a leading peer-reviewed journal publishing short, high-impact papers on electron devices and related technologies.
  • B. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • C. IDR
    IDR is the three-letter ISO 4217 currency code for the official currency of Indonesia, the Indonesian rupiah.
  • D. Ada (programming language)
    Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
  • E. GML
    GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
  • 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: IDL
Triple: [Idlewild Airport, IATAcode, IDL]
Generated description
IDL was the former IATA airport code for New York City's Idlewild Airport, now known as John F. Kennedy International Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IDL
Target entity description: IDL was the former IATA airport code for New York City's Idlewild Airport, now known as John F. Kennedy International Airport.
  • A. IEDL
    IEDL is the standard abbreviation for IEEE Electron Device Letters, a leading peer-reviewed journal publishing short, high-impact papers on electron devices and related technologies.
  • B. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • C. IDR
    IDR is the three-letter ISO 4217 currency code for the official currency of Indonesia, the Indonesian rupiah.
  • D. Ada (programming language)
    Ada is a statically typed, high-level programming language designed with strong support for reliability, safety, and real-time systems, widely used in mission-critical and embedded applications such as aerospace and defense.
  • E. GML
    GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.