Triple

T3303407
Position Surface form Disambiguated ID Type / Status
Subject Nadi International Airport E69389 entity
Predicate IATAcode P418 FINISHED
Object NAN
NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
 E347660 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: NAN | Statement: [Nadi International Airport, IATAcode, NAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAN
Context triple: [Nadi International Airport, IATAcode, NAN]
  • A. nan
    nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
  • B. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • C. .na
    .na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
  • D. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • E. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • 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: NAN
Triple: [Nadi International Airport, IATAcode, NAN]
Generated description
NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAN
Target entity description: NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
  • A. nan
    nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
  • B. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • C. .na
    .na is the country code top-level domain (ccTLD) assigned to Namibia for use in its internet addresses.
  • D. N
    The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
  • E. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c662308190aad8b2a93e1c8a5c completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e383088190a056ca793ebf4ffe completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2f9fb060881909dd940c69cf4a12e completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3137bf988819080cef6c1946ec622 completed March 12, 2026, 7:26 p.m.
Created at: March 8, 2026, 3:11 p.m.