Triple

T14090070
Position Surface form Disambiguated ID Type / Status
Subject Runway 16R/34L E339103 entity
Predicate hasICAOCodeOfAirport P419 FINISHED
Object KEUG
KEUG is the ICAO airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene, Oregon, in the United States.
 E1080227 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: KEUG | Statement: [Runway 16R/34L, hasICAOCodeOfAirport, KEUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEUG
Context triple: [Runway 16R/34L, hasICAOCodeOfAirport, KEUG]
  • A. KEGE
    KEGE is the ICAO airport code for Eagle County Regional Airport, a public airport serving the Vail and Eagle areas in Colorado, USA.
  • B. GEU
    GEU is an Indian higher education institution known for its engineering, technology, and management programs, officially recognized as Graphic Era Deemed to be University.
  • C. Keu
    Keu is the French name for Sir Kay, a knight of the Round Table in Arthurian legend known for his sharp tongue and loyal, if often contentious, service to King Arthur.
  • D. 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.
  • E. KEJ
    KEJ is the IATA airport code for Kemerovo International Airport in Kemerovo, Russia.
  • 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: KEUG
Triple: [Runway 16R/34L, hasICAOCodeOfAirport, KEUG]
Generated description
KEUG is the ICAO airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene, Oregon, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEUG
Target entity description: KEUG is the ICAO airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene, Oregon, in the United States.
  • A. KEGE
    KEGE is the ICAO airport code for Eagle County Regional Airport, a public airport serving the Vail and Eagle areas in Colorado, USA.
  • B. GEU
    GEU is an Indian higher education institution known for its engineering, technology, and management programs, officially recognized as Graphic Era Deemed to be University.
  • C. Keu
    Keu is the French name for Sir Kay, a knight of the Round Table in Arthurian legend known for his sharp tongue and loyal, if often contentious, service to King Arthur.
  • D. 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.
  • E. KEJ
    KEJ is the IATA airport code for Kemerovo International Airport in Kemerovo, Russia.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd5ad82388190a196d811734cdca2 completed May 7, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69fcd63a114881909ff7b2df937d24df completed May 7, 2026, 6:13 p.m.
Created at: April 9, 2026, 10:21 p.m.