Triple

T11051334
Position Surface form Disambiguated ID Type / Status
Subject Airbus Transport International E261259 entity
Predicate ICAOCode P419 FINISHED
Object BGA
BGA is the ICAO airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga aircraft for oversized freight.
 E901380 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: BGA | Statement: [Airbus Transport International, ICAOCode, BGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BGA
Context triple: [Airbus Transport International, ICAOCode, BGA]
  • A. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • B. BGO
    BGO is the three-letter IATA airport code for Bergen Airport, Flesland, serving the city of Bergen in Norway.
  • C. BG
    BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
  • D. BG
    BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
  • E. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • 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: BGA
Triple: [Airbus Transport International, ICAOCode, BGA]
Generated description
BGA is the ICAO airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga aircraft for oversized freight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BGA
Target entity description: BGA is the ICAO airline designator assigned to Airbus Transport International, the cargo airline operating Airbus Beluga aircraft for oversized freight.
  • A. BZgA
    BZgA is Germany’s Federal Centre for Health Education, a government agency responsible for nationwide public health information and prevention campaigns.
  • B. BGO
    BGO is the three-letter IATA airport code for Bergen Airport, Flesland, serving the city of Bergen in Norway.
  • C. BG
    BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
  • D. BG
    BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
  • E. BZG
    BZG is the IATA airport code for Bydgoszcz Ignacy Jan Paderewski Airport in Bydgoszcz, Poland.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798698bd88190aa97afd37f55e19f completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3aa146b148190a87205e542cc718f completed April 18, 2026, 3:58 p.m.
NEDg Description generation batch_69e3ad0379888190b2f56d36d79bf97d completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b206c7a4819087eb06faa6e1af21 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:26 p.m.