Triple

T22248837
Position Surface form Disambiguated ID Type / Status
Subject Buckeye Municipal Airport E549916 entity
Predicate iataCode P2569 FINISHED
Object BXK
BXK is the three-letter IATA airport code assigned to Buckeye Municipal Airport in Buckeye, Arizona.
E1526943 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: BXK | Statement: [Buckeye Municipal Airport, iataCode, BXK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BXK
Context triple: [Buckeye Municipal Airport, iataCode, BXK]
  • A. BX
    BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
  • B. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • C. BX
    BX is the stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • D. BXU
    BXU is the IATA airport code for Bancasi Airport, which serves the city of Butuan in the Philippines.
  • E. BXA
    BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
  • 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: BXK
Triple: [Buckeye Municipal Airport, iataCode, BXK]
Generated description
BXK is the three-letter IATA airport code assigned to Buckeye Municipal Airport in Buckeye, Arizona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BXK
Target entity description: BXK is the three-letter IATA airport code assigned to Buckeye Municipal Airport in Buckeye, Arizona.
  • A. BX
    BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
  • B. BX
    BX is the stock ticker symbol for Blackstone Inc., a leading global alternative asset management firm specializing in private equity, real estate, credit, and hedge fund solutions.
  • C. BX
    BX is the standard borough code used to represent the Bronx in New York City’s administrative and planning systems.
  • D. BXU
    BXU is the IATA airport code for Bancasi Airport, which serves the city of Butuan in the Philippines.
  • E. BXA
    BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138bc69d48190b185d4b8f4089922 completed April 28, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65e6d088190b8ed638d8c57a243 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab762ba7c8190a3a66c282de66392 completed May 18, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7dc8dc08190a65c0a454f018b41 completed May 18, 2026, 6:55 a.m.
Created at: April 16, 2026, 8:38 p.m.