Triple

T1093938
Position Surface form Disambiguated ID Type / Status
Subject Region of Waterloo International Airport E24228 entity
Predicate IATAcode P418 FINISHED
Object YKF
YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
E125748 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: YKF | Statement: [Region of Waterloo International Airport, IATAcode, YKF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YKF
Context triple: [Region of Waterloo International Airport, IATAcode, YKF]
  • A. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • B. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. YAKST
    YAKST is the time zone abbreviation used for Yakutsk Summer Time in eastern Russia.
  • 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: YKF
Triple: [Region of Waterloo International Airport, IATAcode, YKF]
Generated description
YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YKF
Target entity description: YKF is the IATA airport code for Region of Waterloo International Airport serving the Kitchener–Waterloo area in Ontario, Canada.
  • A. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • B. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • C. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • D. YAKST
    YAKST is the time zone abbreviation used for Yakutsk Summer Time in eastern Russia.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99d1e8c81909cf1178d68d38885 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2c6b048190b603e9562dde65d0 completed March 7, 2026, 4:02 p.m.
NEDg Description generation batch_69ac4ca07ce88190bfbf959adc84a74e completed March 7, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac4d3f62c881908e189bfe8cbbd2ac completed March 7, 2026, 4:07 p.m.
Created at: March 1, 2026, 7:42 p.m.