Triple

T6924117
Position Surface form Disambiguated ID Type / Status
Subject London International Airport E160260 entity
Predicate ICAO code P419 FINISHED
Object CYXU
CYXU is the ICAO airport code for London International Airport, a commercial airport serving 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, ICAO code, CYXU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CYXU
Context triple: [London International Airport, ICAO code, CYXU]
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. CYXD
    CYXD is the former ICAO airport code for Edmonton City Centre Airport, a now-closed airport that once served downtown Edmonton, Alberta, Canada.
  • C. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • D. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • E. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • 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, ICAO code, CYXU]
Generated description
CYXU is the ICAO airport code for London International Airport, a commercial airport serving 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, a commercial airport serving London, Ontario, Canada.
  • A. YXU chosen
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. CYXD
    CYXD is the former ICAO airport code for Edmonton City Centre Airport, a now-closed airport that once served downtown Edmonton, Alberta, Canada.
  • C. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • D. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • E. Xing
    Xing is a German-based professional networking platform focused on career development and business connections, particularly in German-speaking countries.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7513bcd2c8190853bc6e8a33a1673 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c751abed548190ac2152acd3029d2d completed March 28, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7558dd72081909af14d319ce01ff6 completed March 28, 2026, 4:14 a.m.
Created at: March 27, 2026, 2:26 p.m.