Triple

T1670221
Position Surface form Disambiguated ID Type / Status
Subject Fresno Yosemite International Airport E36106 entity
Predicate ICAOcode P419 FINISHED
Object KFAT
KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
 E188351 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: KFAT | Statement: [Fresno Yosemite International Airport, ICAOcode, KFAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFAT
Context triple: [Fresno Yosemite International Airport, ICAOcode, KFAT]
  • A. RAFAT
    RAFAT is the abbreviated name for the Red Arrows, the Royal Air Force’s famous aerobatic display team renowned for precision flying and airshow performances.
  • B. Fatha
    Fatha is the nickname of Earl Hines, a pioneering American jazz pianist and bandleader whose innovative style helped shape early jazz and swing music.
  • C. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • D. Kadifekale
    Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
  • E. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • 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: KFAT
Triple: [Fresno Yosemite International Airport, ICAOcode, KFAT]
Generated description
KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFAT
Target entity description: KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
  • A. RAFAT
    RAFAT is the abbreviated name for the Red Arrows, the Royal Air Force’s famous aerobatic display team renowned for precision flying and airshow performances.
  • B. Fatha
    Fatha is the nickname of Earl Hines, a pioneering American jazz pianist and bandleader whose innovative style helped shape early jazz and swing music.
  • C. FAT
    FAT is the commonly used abbreviation for the FA Trophy, an English football knockout competition for non-league clubs.
  • D. Kadifekale
    Kadifekale is a historic hilltop castle and fortress overlooking the city of Izmir in western Turkey.
  • E. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa624285bc8190a763e99e548a3294 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683461ec8190b442054443c472b3 completed March 8, 2026, 12:14 p.m.
NEDg Description generation batch_69ad693c04bc8190acc3566472a773f7 completed March 8, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69ad69b46fe88190a4dc1568cabc69b6 completed March 8, 2026, 12:21 p.m.
Created at: March 4, 2026, 7:29 p.m.