Triple

T13431791
Position Surface form Disambiguated ID Type / Status
Subject Ephrata Municipal Airport E313628 entity
Predicate ICAOcode P419 FINISHED
Object KEPH
KEPH is the ICAO airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
E1040622 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: KEPH | Statement: [Ephrata Municipal Airport, ICAOcode, KEPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KEPH
Context triple: [Ephrata Municipal Airport, ICAOcode, KEPH]
  • A. KEP
    KEP is the IATA airport code for Nepalgunj Airport, a regional airport serving the city of Nepalgunj in southwestern Nepal.
  • B. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • C. KHEF
    KHEF is the ICAO airport code for Manassas Regional Airport, a public airport serving the Manassas, Virginia area in the United States.
  • D. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • E. KECP
    KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
  • 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: KEPH
Triple: [Ephrata Municipal Airport, ICAOcode, KEPH]
Generated description
KEPH is the ICAO airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KEPH
Target entity description: KEPH is the ICAO airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
  • A. KEP
    KEP is the IATA airport code for Nepalgunj Airport, a regional airport serving the city of Nepalgunj in southwestern Nepal.
  • B. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • C. KHEF
    KHEF is the ICAO airport code for Manassas Regional Airport, a public airport serving the Manassas, Virginia area in the United States.
  • D. KEV
    KEV is the common abbreviation for the Krefeld Pinguine, a professional ice hockey club based in Krefeld, Germany.
  • E. KECP
    KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398b828c8190a029a5862ae1fded completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73b065818819095d26633fc682546 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b8635888190b31035bc72676b9d completed May 3, 2026, 12:11 p.m.
Created at: April 9, 2026, 9:40 p.m.