Triple

T24631008
Position Surface form Disambiguated ID Type / Status
Subject Association football E609672 entity
Predicate hasProfessionalLeaguesIn P91101 FINISHED
Object most countries worldwide LITERAL 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: most countries worldwide | Statement: [Association football, hasProfessionalLeaguesIn, most countries worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProfessionalLeaguesIn
Context triple: [Association football, hasProfessionalLeaguesIn, most countries worldwide]
  • A. hasProfessionalLeague
    Indicates that an entity is associated with or participates in a recognized professional sports league.
  • B. includesProfessionalLeagues chosen
    Indicates that an entity contains or encompasses one or more professional sports leagues within its scope or structure.
  • C. isProfessionalLeague
    Indicates that a sports league operates at a professional level, typically involving paid athletes and formal organizational structures.
  • D. isMajorProfessionalLeagueIn
    Indicates that a professional sports league is recognized as a major league within a specified country or region.
  • E. hasProfessionalClubs
    Indicates that there exists a professional sports or activity club associated with, based in, or belonging to the given entity.
  • F. None of above.

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_69e2c4d1d3708190a0f2dc6a3a8523bb completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be064ff88190b5d9e5ec75a41242 completed April 30, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f2a6d0ab708190b2e3b94dd20ca76b completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:32 a.m.