Triple

T11803173
Position Surface form Disambiguated ID Type / Status
Subject Francis S. Gabreski Airport E280678 entity
Predicate IATAcode P418 FINISHED
Object FOK
FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
 E947237 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: FOK | Statement: [Francis S. Gabreski Airport, IATAcode, FOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOK
Context triple: [Francis S. Gabreski Airport, IATAcode, FOK]
  • A. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • D. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • E. FÖD
    FÖD is the Swedish abbreviation formerly used for Sweden’s Ministry of Defence.
  • 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: FOK
Triple: [Francis S. Gabreski Airport, IATAcode, FOK]
Generated description
FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOK
Target entity description: FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
  • A. FUK
    FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • B. FRO
    FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
  • C. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • D. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • E. FÖD
    FÖD is the Swedish abbreviation formerly used for Sweden’s Ministry of Defence.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
NEDg Description generation batch_69f141b1c50c819081a8055d951a49de completed April 28, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f14fcb63208190ad1185ad66314fa9 completed April 29, 2026, 12:24 a.m.
Created at: April 8, 2026, 9:42 p.m.