Triple

T383879
Position Surface form Disambiguated ID Type / Status
Subject Cathay Pacific E8737 entity
Predicate IATAcode P418 FINISHED
Object CX
CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
 E48731 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: CX | Statement: [Cathay Pacific, IATAcode, CX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CX
Context triple: [Cathay Pacific, IATAcode, CX]
  • A. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • B. X
    X is a company owned and controlled by X Corp., operating as its subsidiary within the same corporate group.
  • C. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • E. CBX
    CBX is a pedestrian skybridge and terminal facility that connects San Diego directly to Tijuana International Airport, allowing ticketed passengers to cross the U.S.–Mexico border quickly and conveniently.
  • 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: CX
Triple: [Cathay Pacific, IATAcode, CX]
Generated description
CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CX
Target entity description: CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • A. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • B. X
    X is a company owned and controlled by X Corp., operating as its subsidiary within the same corporate group.
  • C. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • D. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • E. CBX
    CBX is a pedestrian skybridge and terminal facility that connects San Diego directly to Tijuana International Airport, allowing ticketed passengers to cross the U.S.–Mexico border quickly and conveniently.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec422b808190b6ddf747ef939151 completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fe95c7088190a1538eecb2ac6955 completed March 1, 2026, 8:53 a.m.
NEDg Description generation batch_69a3fec1294c8190bff1dc2c8ec6bfb0 completed March 1, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69a3ff1db088819087542685fbad01ad completed March 1, 2026, 8:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.