Triple

T1393629
Position Surface form Disambiguated ID Type / Status
Subject UEFA Nations League E30615 entity
Predicate rankingUse P12770 FINISHED
Object seeding for UEFA competitions draws 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: seeding for UEFA competitions draws | Statement: [UEFA Nations League, rankingUse, seeding for UEFA competitions draws]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingUse
Context triple: [UEFA Nations League, rankingUse, seeding for UEFA competitions draws]
  • A. rankingType
    Indicates the specific basis or method by which items are ordered or ranked relative to one another.
  • B. rankingBasis
    Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
  • C. rankingPoints
    Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
  • D. usesRank chosen
    Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
  • E. rankEquivalent
    Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c37cd99081908d16014e0b99992d completed March 1, 2026, 10:53 p.m.
PD Predicate disambiguation batch_69a4bf017f8081908572121560ec621f completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:59 p.m.