Triple

T13252071
Position Surface form Disambiguated ID Type / Status
Subject Superettan E315556 entity
Predicate hasTableRankingCriteria P53495 FINISHED
Object points 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: points | Statement: [Superettan, hasTableRankingCriteria, points]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTableRankingCriteria
Context triple: [Superettan, hasTableRankingCriteria, points]
  • A. hasTableRanking
    Indicates that an entity is assigned a specific position or order within a ranked table or list.
  • B. hasRankingCategory
    Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
  • C. hasRankingFactor chosen
    Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
  • D. hasRankingUnit
    Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
  • E. hasSeparateRanking
    Indicates that an entity is evaluated or ordered independently from others, with its own distinct ranking.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:24 p.m.