Triple

T4752613
Position Surface form Disambiguated ID Type / Status
Subject Kenya Air Force E105512 entity
Predicate abbreviation P43 FINISHED
Object KAF
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
 E467417 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: KAF | Statement: [Kenya Air Force, abbreviation, KAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAF
Context triple: [Kenya Air Force, abbreviation, KAF]
  • A. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • B. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • C. KAFD
    KAFD is a major business and financial hub in Riyadh, Saudi Arabia, designed as a modern district for financial institutions, corporations, and mixed-use urban development.
  • D. KFAT
    KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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: KAF
Triple: [Kenya Air Force, abbreviation, KAF]
Generated description
KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAF
Target entity description: KAF is the Kenya Air Force, the aerial warfare branch of the Kenya Defence Forces responsible for defending Kenyan airspace and providing air support to military operations.
  • A. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • B. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • C. KAFD
    KAFD is a major business and financial hub in Riyadh, Saudi Arabia, designed as a modern district for financial institutions, corporations, and mixed-use urban development.
  • D. KFAT
    KFAT is the ICAO airport code for Fresno Yosemite International Airport, a commercial airport serving Fresno, California and the surrounding Central Valley region.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e5fba88190b1f28d1b0eed3f8e completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a5ddf088190892d31275adb39ba completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d05e8a081908cdcb37620078fa6 completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3daa7e0081908971df65613c9df6 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.