Triple

T19070131
Position Surface form Disambiguated ID Type / Status
Subject Rugby sevens E466768 entity
Predicate primarySkills P13525 FINISHED
Object speed 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: speed | Statement: [Rugby sevens, primarySkills, speed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primarySkills
Context triple: [Rugby sevens, primarySkills, speed]
  • A. skillSet
    Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
  • B. skilledIn
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • C. primaryCapability chosen
    Indicates that one entity serves as the main or most important functional ability, role, or competence of another entity.
  • D. skillEmphasis
    Indicates that a particular skill is given special focus, priority, or importance within a context such as a role, task, or curriculum.
  • E. notableRecruitingSkill
    Indicates that an entity is recognized for having significant or distinguished ability in recruiting others.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19ea01c8190b9bb789da32f9a90 completed April 20, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69e4b99f602881909eeb9c780597e0e6 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:03 p.m.