Triple

T1148387
Position Surface form Disambiguated ID Type / Status
Subject Windsor International Airport E23619 entity
Predicate IATAcode P418 FINISHED
Object YQG
YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
 E131552 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: YQG | Statement: [Windsor International Airport, IATAcode, YQG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YQG
Context triple: [Windsor International Airport, IATAcode, YQG]
  • A. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • B. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • C. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • 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: YQG
Triple: [Windsor International Airport, IATAcode, YQG]
Generated description
YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YQG
Target entity description: YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding region.
  • A. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • B. YKF
    YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • C. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc7190308190ab104480ed208b22 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb3ec3881908c8cb39b422fcc71 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f248db081908596810839ee6160 completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fb242488190bf99f63956aeda13 completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:44 p.m.