Triple

T24631011
Position Surface form Disambiguated ID Type / Status
Subject Association football E609672 entity
Predicate youthVariants P101617 FINISHED
Object under-age competitions 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: under-age competitions | Statement: [Association football, youthVariants, under-age competitions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: youthVariants
Context triple: [Association football, youthVariants, under-age competitions]
  • A. ageVariants chosen
    Indicates that one entity is an alternative form or version of another distinguished specifically by age (e.g., younger/older or different life-stage variants).
  • B. youthTier
    Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
  • C. youthYears
    Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
  • D. isYouthEquivalentOf
    Indicates that one entity is the youth or junior counterpart of another, typically representing a younger or age-specific version of the same role, group, or category.
  • E. youthQuota
    Indicates that there is a specified minimum or reserved proportion of opportunities, positions, or resources allocated specifically for young people.
  • 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.