Triple

T19096415
Position Surface form Disambiguated ID Type / Status
Subject Kenya Air Force E467417 entity
Predicate abbreviation P43 FINISHED
Object KAF NE NERFINISHED

How this triple was built (2 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. KAF chosen
    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.
  • B. KAFW
    KAFW is the ICAO airport code for Fort Worth Alliance Airport, a major cargo and industrial aviation hub in Fort Worth, Texas.
  • C. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • D. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • E. KOFA
    KOFA is the commonly used abbreviation for the historic King of Arizona Mine, a notable gold mining operation in Arizona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.