Triple

T16390956
Position Surface form Disambiguated ID Type / Status
Subject Queenstown Airport E398048 entity
Predicate ICAOcode P419 FINISHED
Object NZQN
NZQN is the ICAO airport code for Queenstown Airport, a major tourist gateway located in Queenstown on New Zealand’s South Island.
E1209982 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: NZQN | Statement: [Queenstown Airport, ICAOcode, NZQN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NZQN
Context triple: [Queenstown Airport, ICAOcode, NZQN]
  • A. ZQN
    ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
  • B. NZS
    NZS is the governing body responsible for overseeing and organizing football activities and competitions in Slovenia.
  • C. NQZ
    NQZ is the IATA airport code for Nursultan Nazarbayev International Airport, the main international airport serving Astana, the capital of Kazakhstan.
  • D. NZCH
    NZCH is the ICAO airport code for Christchurch International Airport, the main international gateway to Christchurch and the South Island of New Zealand.
  • E. NZRO
    NZRO is the ICAO airport code for Rotorua Airport in New Zealand.
  • 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: NZQN
Triple: [Queenstown Airport, ICAOcode, NZQN]
Generated description
NZQN is the ICAO airport code for Queenstown Airport, a major tourist gateway located in Queenstown on New Zealand’s South Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NZQN
Target entity description: NZQN is the ICAO airport code for Queenstown Airport, a major tourist gateway located in Queenstown on New Zealand’s South Island.
  • A. ZQN
    ZQN is the IATA airport code for Queenstown Airport, the main air gateway to the resort town of Queenstown in New Zealand.
  • B. NZS
    NZS is the governing body responsible for overseeing and organizing football activities and competitions in Slovenia.
  • C. NQZ
    NQZ is the IATA airport code for Nursultan Nazarbayev International Airport, the main international airport serving Astana, the capital of Kazakhstan.
  • D. NZCH
    NZCH is the ICAO airport code for Christchurch International Airport, the main international gateway to Christchurch and the South Island of New Zealand.
  • E. NZRO
    NZRO is the ICAO airport code for Rotorua Airport in New Zealand.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326425c8081908cacffcfa8c7386b completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a003659af2481908ccf0cc65b673b8f completed May 10, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0037957d7c81908b517ebea0b70a5b completed May 10, 2026, 7:45 a.m.
Created at: April 10, 2026, 5:08 a.m.