Triple

T22400915
Position Surface form Disambiguated ID Type / Status
Subject Kenora Airport E553755 entity
Predicate IATAcode P418 FINISHED
Object YQK
YQK is the IATA airport code for Kenora Airport, a regional airport serving the Kenora area in northwestern Ontario, Canada.
E1533770 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: YQK | Statement: [Kenora Airport, IATAcode, YQK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YQK
Context triple: [Kenora Airport, IATAcode, YQK]
  • A. YQX
    YQX is the IATA airport code for Gander International Airport in Newfoundland and Labrador, Canada, a historically important transatlantic aviation hub.
  • B. YQG
    YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
  • C. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • D. YQ
    YQ is the IATA airline designator assigned to Polet Airlines, a former Russian carrier that operated cargo and passenger services.
  • E. YQF
    YQF is the IATA airport code for Red Deer Regional Airport in Alberta, Canada.
  • 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: YQK
Triple: [Kenora Airport, IATAcode, YQK]
Generated description
YQK is the IATA airport code for Kenora Airport, a regional airport serving the Kenora area in northwestern Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YQK
Target entity description: YQK is the IATA airport code for Kenora Airport, a regional airport serving the Kenora area in northwestern Ontario, Canada.
  • A. YQX
    YQX is the IATA airport code for Gander International Airport in Newfoundland and Labrador, Canada, a historically important transatlantic aviation hub.
  • B. YQG
    YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
  • C. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • D. YQ
    YQ is the IATA airline designator assigned to Polet Airlines, a former Russian carrier that operated cargo and passenger services.
  • E. YQF
    YQF is the IATA airport code for Red Deer Regional Airport in Alberta, Canada.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b39c908190a735aa860d733869 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cad4ec8190a813d865445b9236 completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aeacb18c48190a6f8d239a104959d completed May 18, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb64056c8190976216a61b1043a4 completed May 18, 2026, 10:35 a.m.
Created at: April 16, 2026, 8:46 p.m.