Triple

T11449400
Position Surface form Disambiguated ID Type / Status
Subject Eagle County Regional Airport E271353 entity
Predicate ICAOcode P419 FINISHED
Object KEGE
KEGE is the ICAO airport code for Eagle County Regional Airport, a public airport serving the Vail and Eagle areas in Colorado, USA.
 E926539 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: KEGE | Statement: [Eagle County Regional Airport, ICAOcode, KEGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEGE
Context triple: [Eagle County Regional Airport, ICAOcode, KEGE]
  • A. kuge
    Kuge were the aristocratic court nobility of premodern Japan, centered around the imperial court in Kyoto and distinct from the later samurai warrior class.
  • B. KEJ
    KEJ is the IATA airport code for Kemerovo International Airport in Kemerovo, Russia.
  • C. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • D. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • E. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • 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: KEGE
Triple: [Eagle County Regional Airport, ICAOcode, KEGE]
Generated description
KEGE is the ICAO airport code for Eagle County Regional Airport, a public airport serving the Vail and Eagle areas in Colorado, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEGE
Target entity description: KEGE is the ICAO airport code for Eagle County Regional Airport, a public airport serving the Vail and Eagle areas in Colorado, USA.
  • A. kuge
    Kuge were the aristocratic court nobility of premodern Japan, centered around the imperial court in Kyoto and distinct from the later samurai warrior class.
  • B. KEJ
    KEJ is the IATA airport code for Kemerovo International Airport in Kemerovo, Russia.
  • C. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • D. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • E. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6e496c8190b0a1919c29d4ee60 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3cb63408190a96b97f716d46082 completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.