Triple

T7944751
Position Surface form Disambiguated ID Type / Status
Subject FFA Cup E184471 entity
Predicate featuresSemiProfessionalClubs P79958 FINISHED
Object true 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: true | Statement: [FFA Cup, featuresSemiProfessionalClubs, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresSemiProfessionalClubs
Context triple: [FFA Cup, featuresSemiProfessionalClubs, true]
  • A. featuresClubs
    Indicates that something includes or presents one or more clubs as part of its composition, content, or offering.
  • B. featuresSwissClubs
    Indicates that something includes or highlights Swiss clubs as part of its content, composition, or offering.
  • C. eligibleClubs
    Indicates that certain clubs meet the required criteria or conditions to qualify for a specified status, activity, or benefit.
  • D. semiProfessionalTiers
    Indicates a relationship in which entities are organized or classified into tiers that represent semi-professional levels or statuses.
  • E. includesAmateurClubs
    Indicates that something (such as an organization, competition, or structure) contains or encompasses amateur-level clubs as part of it.
  • F. None of above. chosen

Provenance (4 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b285d3881909b2ac0b395538a8a completed March 31, 2026, 3:10 a.m.
PD Predicate disambiguation batch_69cae93526d081909303265bf60419fd completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf788db1c8190839523e7777961d6 completed March 30, 2026, 10:22 p.m.
Created at: March 30, 2026, 5:09 p.m.