Triple

T7828100
Position Surface form Disambiguated ID Type / Status
Subject Japan Football Association E181295 entity
Predicate hasAbbreviation P43 FINISHED
Object JFA E695310 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: JFA | Statement: [Japan Football Association, hasAbbreviation, JFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JFA
Context triple: [Japan Football Association, hasAbbreviation, JFA]
  • A. JFA chosen
    JFA is the commonly used abbreviation for the Japan Football Association, the governing body for football in Japan.
  • B. JFA
    JFA is the governing body responsible for overseeing and organizing football activities and competitions in Jordan.
  • C. JFSA
    JFSA is the primary Japanese government regulator overseeing banking, securities, and insurance markets to ensure the stability and integrity of the country’s financial system.
  • D. JFBA
    JFBA is the nationwide professional body representing and regulating lawyers and bar associations in Japan.
  • E. JEF
    JEF is the IATA airport code for Jefferson City Memorial Airport, a public airport serving Jefferson City, Missouri.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a97d748190b1924890b1328bf1 completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a797ee881908068ba7346042756 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:43 p.m.