Triple

T7224270
Position Surface form Disambiguated ID Type / Status
Subject Toussaint Louverture International Airport E150337 entity
Predicate IATAcode P418 FINISHED
Object PAP
PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
 E650181 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: PAP | Statement: [Toussaint Louverture International Airport, IATAcode, PAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PAP
Context triple: [Toussaint Louverture International Airport, IATAcode, PAP]
  • A. PAP
    PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
  • B. PAP
    PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
  • C. PAPPG
    PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
  • D. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • E. PAA
    PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
  • 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: PAP
Triple: [Toussaint Louverture International Airport, IATAcode, PAP]
Generated description
PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PAP
Target entity description: PAP is the IATA airport code for Toussaint Louverture International Airport, the main international gateway serving Port-au-Prince, Haiti.
  • A. PAP
    PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
  • B. PAP
    PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
  • C. PAPPG
    PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
  • D. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • E. PAA
    PAA was the ICAO airline designator for Pan American World Airways, the pioneering and once-dominant international airline of the United States.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9db51888190b8463d0003f334fa completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc11b48881909886a71f1b887789 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cd47d4b88190a75c419c41d57cb9 completed March 28, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69c7cdbdee8081908faadb9cdaa4df13 completed March 28, 2026, 12:46 p.m.
Created at: March 27, 2026, 2:54 p.m.