Triple

T22967764
Position Surface form Disambiguated ID Type / Status
Subject Japan Professional Golfers Association E571095 entity
Predicate abbreviation P43 FINISHED
Object JPGA
JPGA is the acronym for the Japan Professional Golfers Association, the governing body that oversees professional golf and supports professional golfers in Japan.
 E1563717 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: JPGA | Statement: [Japan Professional Golfers Association, abbreviation, JPGA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JPGA
Context triple: [Japan Professional Golfers Association, abbreviation, JPGA]
  • A. JKA
    JKA is the FAA airport code for Jack Edwards National Airport, a public airport serving Gulf Shores, Alabama.
  • B. JGK
    JGK is the station code for Jinan West railway station, a major high-speed rail hub in Jinan, Shandong, China.
  • C. GPW
    GPW is the Warsaw Stock Exchange, the primary securities exchange in Poland and one of the largest stock markets in Central and Eastern Europe.
  • D. JNPT
    JNPT (Jawaharlal Nehru Port Trust) is India’s largest container port, located near Mumbai on the Arabian Sea coast in Maharashtra.
  • E. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • 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: JPGA
Triple: [Japan Professional Golfers Association, abbreviation, JPGA]
Generated description
JPGA is the acronym for the Japan Professional Golfers Association, the governing body that oversees professional golf and supports professional golfers in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JPGA
Target entity description: JPGA is the acronym for the Japan Professional Golfers Association, the governing body that oversees professional golf and supports professional golfers in Japan.
  • A. JKA
    JKA is the FAA airport code for Jack Edwards National Airport, a public airport serving Gulf Shores, Alabama.
  • B. JGK
    JGK is the station code for Jinan West railway station, a major high-speed rail hub in Jinan, Shandong, China.
  • C. GPW
    GPW is the Warsaw Stock Exchange, the primary securities exchange in Poland and one of the largest stock markets in Central and Eastern Europe.
  • D. JNPT
    JNPT (Jawaharlal Nehru Port Trust) is India’s largest container port, located near Mumbai on the Arabian Sea coast in Maharashtra.
  • E. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182301f388190bb39e3d5b356dc65 completed April 29, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca24aab881908c77bac6ee658418 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcb59767881908ada8c0e3907875d completed May 19, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:48 p.m.