Triple

T21791207
Position Surface form Disambiguated ID Type / Status
Subject Kuwait Football Association E537974 entity
Predicate shortName P43 FINISHED
Object KFA
KFA is the governing body responsible for organizing and overseeing football activities and competitions in Kuwait.
 E1502457 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: KFA | Statement: [Kuwait Football Association, shortName, KFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KFA
Context triple: [Kuwait Football Association, shortName, KFA]
  • A. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • 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. QFA
    QFA is the commonly used abbreviation for the Qatar Football Association, the governing body of football in Qatar.
  • D. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • E. FCKC
    FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
  • 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: KFA
Triple: [Kuwait Football Association, shortName, KFA]
Generated description
KFA is the governing body responsible for organizing and overseeing football activities and competitions in Kuwait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KFA
Target entity description: KFA is the governing body responsible for organizing and overseeing football activities and competitions in Kuwait.
  • A. KFA
    KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
  • 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. QFA
    QFA is the commonly used abbreviation for the Qatar Football Association, the governing body of football in Qatar.
  • D. FKF
    FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
  • E. FCKC
    FCKC is the commonly used abbreviation for FC Kansas City, a former professional women's soccer club that competed in the National Women's Soccer League in the United States.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621f95cc8190a3e8619fbf29555a completed April 28, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3e74f3b8819099c9b8565afb5e2e completed May 17, 2026, 10:17 p.m.
NEDg Description generation batch_6a0a401ceb748190a4718ea4bc7ece45 completed May 17, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0a40bc29fc8190b082a1f86b2c4907 completed May 17, 2026, 10:27 p.m.
Created at: April 16, 2026, 6:52 p.m.