Triple

T29901682
Position Surface form Disambiguated ID Type / Status
Subject English women's football pyramid E759421 entity
Predicate topProfessionalTier P109883 FINISHED
Object Women's Super League NE NERFINISHED

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: Women's Super League | Statement: [English women's football pyramid, topProfessionalTier, Women's Super League]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topProfessionalTier
Context triple: [English women's football pyramid, topProfessionalTier, Women's Super League]
  • A. topTierProfessional chosen
    Indicates that an entity is recognized as a highly skilled, elite-level professional within its field or domain.
  • B. semiProfessionalTiers
    Indicates a relationship in which entities are organized or classified into tiers that represent semi-professional levels or statuses.
  • C. professionalTiers
    Indicates a hierarchical relationship that orders professionals into different levels or tiers based on status, role, or qualification.
  • D. professionalTiersOrganisedBy
    Indicates that professional tiers or levels are structured, arranged, or classified according to the organizing criterion or entity specified.
  • E. professionalTierInCountry
    Indicates the professional level or tier that an entity holds within the context of a specific country.
  • 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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6772fce348190bc69daffad2fc0f1 completed May 2, 2026, 10:14 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:06 p.m.