Triple

T18597027
Position Surface form Disambiguated ID Type / Status
Subject Aarhus Airport E454517 entity
Predicate ICAOcode P419 FINISHED
Object EKAH
EKAH is the ICAO airport code for Aarhus Airport, a regional international airport serving the Aarhus area in Denmark.
E1333005 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: EKAH | Statement: [Aarhus Airport, ICAOcode, EKAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EKAH
Context triple: [Aarhus Airport, ICAOcode, EKAH]
  • A. 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.
  • B. EKKA
    EKKA is the ICAO airport code assigned to Karup Air Base in Denmark.
  • C. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • D. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • E. Eka
    Eka is a Swedish family name historically associated with noble lineages such as that of Cecilia Månsdotter Eka.
  • 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: EKAH
Triple: [Aarhus Airport, ICAOcode, EKAH]
Generated description
EKAH is the ICAO airport code for Aarhus Airport, a regional international airport serving the Aarhus area in Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EKAH
Target entity description: EKAH is the ICAO airport code for Aarhus Airport, a regional international airport serving the Aarhus area in Denmark.
  • A. 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.
  • B. EKKA
    EKKA is the ICAO airport code assigned to Karup Air Base in Denmark.
  • C. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • D. EKO
    EKO is the three-letter IATA airport code for Elko Regional Airport, a public airport serving Elko, Nevada, in the United States.
  • E. Eka
    Eka is a Swedish family name historically associated with noble lineages such as that of Cecilia Månsdotter Eka.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037eda788190977fcb50aa4d2357 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a0504cd76388190b67c78250297573d completed May 13, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a0505482c588190952fe07726f64b93 completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:44 a.m.