Triple

T10038811
Position Surface form Disambiguated ID Type / Status
Subject KAFD E205242 entity
Predicate shortName P43 FINISHED
Object KAFD E205242 NE FINISHED

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: KAFD | Statement: [KAFD, shortName, KAFD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAFD
Context triple: [KAFD, shortName, KAFD]
  • A. KAFD chosen
    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.
  • B. 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.
  • C. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • D. AFDW
    AFDW is a U.S. Air Force command responsible for organizing, training, and equipping Air Force personnel in the National Capital Region and providing ceremonial and operational support to joint and Air Force missions there.
  • E. KUF
    KUF is the IATA airport code for Kurumoch International Airport serving the Samara region in Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee04afc8190904704d66e23a432 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28268ab648190a565472d00b289c2 completed April 5, 2026, 3:40 p.m.
Created at: March 30, 2026, 8:55 p.m.