Triple

T9984692
Position Surface form Disambiguated ID Type / Status
Subject Brunswick Golden Isles Airport E196538 entity
Predicate ICAOcode P419 FINISHED
Object KBQK
KBQK is the ICAO airport code for Brunswick Golden Isles Airport, a public airport serving the Brunswick, Georgia area in the United States.
E834418 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: KBQK | Statement: [Brunswick Golden Isles Airport, ICAOcode, KBQK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KBQK
Context triple: [Brunswick Golden Isles Airport, ICAOcode, KBQK]
  • A. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • B. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • C. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • D. KEQY
    KEQY is the ICAO airport code for Charlotte–Monroe Executive Airport, a public general aviation airport serving the Monroe and greater Charlotte, North Carolina area.
  • E. KBKW
    KBKW is the ICAO airport code for Raleigh County Memorial Airport in Beckley, West Virginia, United States.
  • 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: KBQK
Triple: [Brunswick Golden Isles Airport, ICAOcode, KBQK]
Generated description
KBQK is the ICAO airport code for Brunswick Golden Isles Airport, a public airport serving the Brunswick, Georgia area in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KBQK
Target entity description: KBQK is the ICAO airport code for Brunswick Golden Isles Airport, a public airport serving the Brunswick, Georgia area in the United States.
  • A. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • B. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • C. KBKL
    KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
  • D. KEQY
    KEQY is the ICAO airport code for Charlotte–Monroe Executive Airport, a public general aviation airport serving the Monroe and greater Charlotte, North Carolina area.
  • E. KBKW
    KBKW is the ICAO airport code for Raleigh County Memorial Airport in Beckley, West Virginia, United States.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bf5adc81908c862b75053dd8f1 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257fe0e348190b55fbd38e21cff7c completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d2594b5e5081908f7cc4af4d10b4a8 completed April 5, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69d25a30ad98819084dcd305e709c34d completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:49 p.m.