Triple

T8102522
Position Surface form Disambiguated ID Type / Status
Subject Cologne Bonn Airport E189148 entity
Predicate IATAcode P418 FINISHED
Object CGN
CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
 E711564 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: CGN | Statement: [Cologne Bonn Airport, IATAcode, CGN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CGN
Context triple: [Cologne Bonn Airport, IATAcode, CGN]
  • A. CGN
    CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
  • B. CN-GS
    CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • E. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • 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: CGN
Triple: [Cologne Bonn Airport, IATAcode, CGN]
Generated description
CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CGN
Target entity description: CGN is the IATA airport code for Cologne Bonn Airport, a major international airport serving the Cologne and Bonn region in western Germany.
  • A. CGN
    CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
  • B. CN-GS
    CN-GS is the ISO 3166-2 code representing Gansu Province, a landlocked region in north-central China known for its role along the historic Silk Road.
  • C. KGN
    KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
  • D. CGR
    CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
  • E. CGF
    CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bd91408190880293dfdce8bef7 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc642095a08190bcf90e6470e127cc completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68d9032c8190af6c5ff64fe46aff completed April 1, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cc69f6bb308190a95df95d1a67cfec completed April 1, 2026, 12:42 a.m.
Created at: March 30, 2026, 5:31 p.m.