Triple

T3796444
Position Surface form Disambiguated ID Type / Status
Subject China United Airlines E89780 entity
Predicate ICAOcode P419 FINISHED
Object CUA
CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
 E389624 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: CUA | Statement: [China United Airlines, ICAOcode, CUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUA
Context triple: [China United Airlines, ICAOcode, CUA]
  • A. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • B. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • C. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • D. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • E. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • 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: CUA
Triple: [China United Airlines, ICAOcode, CUA]
Generated description
CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUA
Target entity description: CUA is the ICAO airline designator for China United Airlines, a Chinese domestic carrier based in Beijing.
  • A. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • B. ACU
    ACU is the standard camouflage field uniform worn by soldiers of the United States Army.
  • C. ACU
    ACU (the Association of Commonwealth Universities) is an international network of higher education institutions from Commonwealth countries that promotes collaboration, academic excellence, and educational development.
  • D. CUW
    CUW is the three-letter ISO 3166-1 alpha-3 country code assigned to Curaçao.
  • E. UNA
    UNA is the stock ticker symbol for Unilever, a major multinational consumer goods company known for its wide range of food, personal care, and household products.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee79f09bc8190b7514a11a030eba5 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05ea5e081908c4714ca35aed48b completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f2ed663c8190be431c7aae60259e completed March 14, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_69b4f72eba988190acb96b44fc8b7c30 completed March 14, 2026, 5:50 a.m.
Created at: March 9, 2026, 3:15 p.m.