Triple

T1021012
Position Surface form Disambiguated ID Type / Status
Subject London International Airport E22037 entity
Predicate hasCode P9567 FINISHED
Object CYXU
CYXU is the ICAO airport code for London International Airport in London, Ontario, Canada.
 E121719 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: CYXU | Statement: [London International Airport, hasCode, CYXU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CYXU
Context triple: [London International Airport, hasCode, CYXU]
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • C. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • D. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • E. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • 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: CYXU
Triple: [London International Airport, hasCode, CYXU]
Generated description
CYXU is the ICAO airport code for London International Airport in London, Ontario, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CYXU
Target entity description: CYXU is the ICAO airport code for London International Airport in London, Ontario, Canada.
  • A. YXU chosen
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • C. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • D. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • E. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • F. None of above.

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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7dd76b081909ed4d2f7adb6480d completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5381e020819094e02c3d20acab95 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac5562cfcc8190a360429aef88f159 completed March 7, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac55b9aae48190b35546b87eb82cd9 completed March 7, 2026, 4:43 p.m.
Created at: March 1, 2026, 7:41 p.m.