Triple

T13872152
Position Surface form Disambiguated ID Type / Status
Subject Kaduna International Airport E333480 entity
Predicate hasICAOcode P419 FINISHED
Object DNKA
DNKA is the ICAO airport code for Kaduna International Airport in Kaduna, Nigeria.
E1065460 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: DNKA | Statement: [Kaduna International Airport, hasICAOcode, DNKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNKA
Context triple: [Kaduna International Airport, hasICAOcode, DNKA]
  • A. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • B. ODNA
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • C. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • D. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • E. DNAI
    DNAI is the ICAO airport code assigned to Victor Attah International Airport in Akwa Ibom State, Nigeria.
  • 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: DNKA
Triple: [Kaduna International Airport, hasICAOcode, DNKA]
Generated description
DNKA is the ICAO airport code for Kaduna International Airport in Kaduna, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DNKA
Target entity description: DNKA is the ICAO airport code for Kaduna International Airport in Kaduna, Nigeria.
  • A. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • B. ODNA
    ODNA is the acronym for the Office of the Director of Net Assessment, a U.S. Department of Defense office responsible for long-term strategic military assessments and competitive analysis.
  • C. DNAA
    DNAA is the ICAO airport code for Nnamdi Azikiwe International Airport, the main international gateway serving Abuja, Nigeria’s capital city.
  • D. ADN
    ADN is a European treaty that sets safety and environmental regulations for transporting dangerous goods on inland waterways.
  • E. DNAI
    DNAI is the ICAO airport code assigned to Victor Attah International Airport in Akwa Ibom State, Nigeria.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c107c20c81909dff0ca4a59fcc55 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c20da9448190b3167b091bd39b94 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c2cc63148190b9ca2828abe54286 completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:14 p.m.