Triple

T7129347
Position Surface form Disambiguated ID Type / Status
Subject Elko Regional Airport E166145 entity
Predicate IATAcode P418 FINISHED
Object EKO
EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
 E644344 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: EKO | Statement: [Elko Regional Airport, IATAcode, EKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EKO
Context triple: [Elko Regional Airport, IATAcode, EKO]
  • A. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • B. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • C. Ecolo
    Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
  • D. EKKA
    EKKA was a Greek World War II resistance organization that played a significant role in the anti-Axis struggle and post-liberation political developments.
  • E. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • 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: EKO
Triple: [Elko Regional Airport, IATAcode, EKO]
Generated description
EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EKO
Target entity description: EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • A. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • B. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • C. Ecolo
    Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
  • D. EKKA
    EKKA was a Greek World War II resistance organization that played a significant role in the anti-Axis struggle and post-liberation political developments.
  • E. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.