Triple

T16404974
Position Surface form Disambiguated ID Type / Status
Subject Nagasaki Airport E398402 entity
Predicate hasIATACode P2569 FINISHED
Object NGS
NGS is the IATA airport code for Nagasaki Airport in Japan.
E1211733 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: NGS | Statement: [Nagasaki Airport, hasIATACode, NGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NGS
Context triple: [Nagasaki Airport, hasIATACode, NGS]
  • A. NGS
    NGS is the National Geodetic Survey, the U.S. federal agency responsible for defining and managing the national coordinate system used for mapping, navigation, and surveying.
  • B. NGS
    NGS is the abbreviation for the Nasdaq Global Select Market, a premier tier of the Nasdaq stock exchange that lists companies meeting the highest financial and corporate governance standards.
  • C. Ion Torrent
    Ion Torrent is a DNA sequencing technology platform known for its semiconductor-based sequencing method that detects hydrogen ions released during nucleotide incorporation.
  • D. Nebula Genomics
    Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
  • E. BGI
    BGI is the station code for Brigadeiro, a São Paulo Metro station on Line 2 (Green) in Brazil.
  • 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: NGS
Triple: [Nagasaki Airport, hasIATACode, NGS]
Generated description
NGS is the IATA airport code for Nagasaki Airport in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NGS
Target entity description: NGS is the IATA airport code for Nagasaki Airport in Japan.
  • A. NGS
    NGS is the National Geodetic Survey, the U.S. federal agency responsible for defining and managing the national coordinate system used for mapping, navigation, and surveying.
  • B. NGS
    NGS is the abbreviation for the Nasdaq Global Select Market, a premier tier of the Nasdaq stock exchange that lists companies meeting the highest financial and corporate governance standards.
  • C. Ion Torrent
    Ion Torrent is a DNA sequencing technology platform known for its semiconductor-based sequencing method that detects hydrogen ions released during nucleotide incorporation.
  • D. Nebula Genomics
    Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
  • E. BGI
    BGI is the three-letter IATA airport code for Grantley Adams International Airport, the main international gateway to Barbados.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6094e481909aa7402fd17fedae completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dd7e9d481908822da391112eb39 completed May 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.