Triple

T20508376
Position Surface form Disambiguated ID Type / Status
Subject Nassau International Airport E503492 entity
Predicate IATAcode P418 FINISHED
Object NAS
NAS is the IATA airport code for Lynden Pindling International Airport, the main international gateway to Nassau and the Bahamas.
 E503490 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: NAS | Statement: [Nassau International Airport, IATAcode, NAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAS
Context triple: [Nassau International Airport, IATAcode, NAS]
  • A. NAS
    NAS is the stock ticker symbol for Norwegian Air Shuttle, a major low-cost airline based in Norway.
  • B. NAS
    NAS is the commonly used abbreviation for the United States National Airspace System, the integrated network of airspace, navigation facilities, and regulations that supports civil and military aviation.
  • C. NAS
    NAS is the commonly used abbreviation for Canada’s National Airports System, which comprises the country’s major airports of national significance.
  • D. NAS
    NAS is the commonly used abbreviation for the Faculty of Natural and Agricultural Sciences at a higher education institution.
  • E. NAS
    NAS (Nuclei Antisofisticazioni e Sanità) is a specialized unit of the Italian Carabinieri responsible for protecting public health by combating food, pharmaceutical, and health-related fraud and violations.
  • 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: NAS
Triple: [Nassau International Airport, IATAcode, NAS]
Generated description
NAS is the IATA airport code for Lynden Pindling International Airport, the main international gateway to Nassau and the Bahamas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAS
Target entity description: NAS is the IATA airport code for Lynden Pindling International Airport, the main international gateway to Nassau and the Bahamas.
  • A. NAS chosen
    NAS is the IATA airport code for Lynden Pindling International Airport, the main international gateway to Nassau and the Bahamas.
  • B. NAS
    NAS is the commonly used abbreviation for Canada’s National Airports System, which comprises the country’s major airports of national significance.
  • C. NAS
    NAS is the commonly used abbreviation for the United States National Airspace System, the integrated network of airspace, navigation facilities, and regulations that supports civil and military aviation.
  • D. NAS
    NAS is the stock ticker symbol for Norwegian Air Shuttle, a major low-cost airline based in Norway.
  • E. NAS
    NAS (Nuclei Antisofisticazioni e Sanità) is a specialized unit of the Italian Carabinieri responsible for protecting public health by combating food, pharmaceutical, and health-related fraud and violations.
  • F. None of above.

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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dc8f3c881908ed2e0257a057e73 completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08accee0688190a897ed76719a977d completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08b08684d08190a3be4564e8b2fec3 completed May 16, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08b172d60881908406e55417617ca9 completed May 16, 2026, 6:03 p.m.
Created at: April 16, 2026, 11:36 a.m.