Triple

T6834976
Position Surface form Disambiguated ID Type / Status
Subject Healthy Athletes E157425 entity
Predicate hasComponent P35 FINISHED
Object FUNfitness
FUNfitness is a health promotion program that provides fitness assessments, education, and individualized exercise guidance, often tailored for individuals with intellectual disabilities.
 E621172 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: FUNfitness | Statement: [Healthy Athletes, hasComponent, FUNfitness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FUNfitness
Context triple: [Healthy Athletes, hasComponent, FUNfitness]
  • A. Fitness Olympia
    Fitness Olympia is a professional IFBB bodybuilding and fitness competition for women, held as part of Joe Weider’s Olympia Weekend.
  • B. FIT
    FIT is a software testing framework designed to facilitate collaboration between developers and customers by expressing and automatically checking requirements in tabular form.
  • C. FIT
    FIT is the National Rail station code for Filton Abbey Wood railway station in Bristol, England.
  • D. GYM
    GYM is the National Rail station code for Great Yarmouth railway station in Norfolk, England.
  • E. FUN
    FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
  • 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: FUNfitness
Triple: [Healthy Athletes, hasComponent, FUNfitness]
Generated description
FUNfitness is a health promotion program that provides fitness assessments, education, and individualized exercise guidance, often tailored for individuals with intellectual disabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FUNfitness
Target entity description: FUNfitness is a health promotion program that provides fitness assessments, education, and individualized exercise guidance, often tailored for individuals with intellectual disabilities.
  • A. Fitness Olympia
    Fitness Olympia is a professional IFBB bodybuilding and fitness competition for women, held as part of Joe Weider’s Olympia Weekend.
  • B. FIT
    FIT is a software testing framework designed to facilitate collaboration between developers and customers by expressing and automatically checking requirements in tabular form.
  • C. FIT
    FIT is the National Rail station code for Filton Abbey Wood railway station in Bristol, England.
  • D. GYM
    GYM is the National Rail station code for Great Yarmouth railway station in Norfolk, England.
  • E. FUN
    FUN is the stock ticker symbol for Cedar Fair, a major North American operator of amusement and water parks.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67a9ff88190b0d86331b3ea06aa completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723fd50c88190af005fd58ca0aee6 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7247806808190ac60c134cec612c8 completed March 28, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7253b94f081909e7cee870a12af6b completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:18 p.m.