Triple

T19236234
Position Surface form Disambiguated ID Type / Status
Subject Fremont County Airport E481004 entity
Predicate IATA code P2569 FINISHED
Object CNE
CNE is the three-letter IATA airport code for Fremont County Airport in Colorado, United States.
 E1365784 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: CNE | Statement: [Fremont County Airport, IATA code, CNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNE
Context triple: [Fremont County Airport, IATA code, CNE]
  • A. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • B. CNE
    CNE is Chile’s National Energy Commission, the government body responsible for designing, coordinating, and regulating the country’s energy policy and markets.
  • C. CNE
    CNE is Ecuador’s National Electoral Council, the independent public authority responsible for organizing and overseeing the country’s electoral processes and guaranteeing the transparency of elections.
  • D. CNE
    CNE is Colombia’s National Electoral Council, the top authority responsible for overseeing and regulating the country’s electoral processes and political parties.
  • E. CNE
    CNE is the abbreviation for Portugal’s National Election Commission, the independent body responsible for overseeing and regulating electoral processes in the country.
  • 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: CNE
Triple: [Fremont County Airport, IATA code, CNE]
Generated description
CNE is the three-letter IATA airport code for Fremont County Airport in Colorado, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNE
Target entity description: CNE is the three-letter IATA airport code for Fremont County Airport in Colorado, United States.
  • A. CNE
    CNE is a large annual fair and exhibition held in Toronto, Canada, featuring rides, games, concerts, food, and cultural events.
  • B. CNE
    CNE is Chile’s National Energy Commission, the government body responsible for designing, coordinating, and regulating the country’s energy policy and markets.
  • C. CNE
    CNE is Ecuador’s National Electoral Council, the independent public authority responsible for organizing and overseeing the country’s electoral processes and guaranteeing the transparency of elections.
  • D. CNE
    CNE is Colombia’s National Electoral Council, the top authority responsible for overseeing and regulating the country’s electoral processes and political parties.
  • E. CNE
    CNE is the abbreviation for Portugal’s National Election Commission, the independent body responsible for overseeing and regulating electoral processes in the country.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faed9ef0819085035cc17d1546e5 completed April 20, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705d7e1348190b3220603270ab03c completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a07069434cc8190a91be8afb5bd88c8 completed May 15, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_6a07074bd4288190b2f51e0392efcdc3 completed May 15, 2026, 11:45 a.m.
Created at: April 10, 2026, 1:26 p.m.