Triple

T4046266
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka Airport E84073 entity
Predicate IATAcode P418 FINISHED
Object FUK
FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
 E408512 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: FUK | Statement: [Fukuoka Airport, IATAcode, FUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUK
Context triple: [Fukuoka Airport, IATAcode, FUK]
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. FUS
    FUS is a DNA/RNA-binding protein whose mutations are implicated in neurodegenerative diseases, particularly certain forms of amyotrophic lateral sclerosis (ALS).
  • C. Futrono
    Futrono is a lakeside town and commune in southern Chile known for its scenic setting on Lake Ranco and its role in the Los Ríos Region’s tourism and agriculture.
  • D. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • E. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
  • 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: FUK
Triple: [Fukuoka Airport, IATAcode, FUK]
Generated description
FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUK
Target entity description: FUK is the IATA airport code for Fukuoka Airport, a major international and domestic air hub serving the city of Fukuoka in Japan.
  • A. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. FUS
    FUS is a DNA/RNA-binding protein whose mutations are implicated in neurodegenerative diseases, particularly certain forms of amyotrophic lateral sclerosis (ALS).
  • C. Futrono
    Futrono is a lakeside town and commune in southern Chile known for its scenic setting on Lake Ranco and its role in the Los Ríos Region’s tourism and agriculture.
  • D. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • E. Fuchū
    Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb6135b481909d2be890a2140ff9 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55652228c8190a9f301676deb0055 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.