Triple

T34580912
Position Surface form Disambiguated ID Type / Status
Subject Natalia Shaposhnikova E887897 entity
Predicate hasEponymousSkillOn P57442 FINISHED
Object uneven bars 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: uneven bars | Statement: [Natalia Shaposhnikova, hasEponymousSkillOn, uneven bars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEponymousSkillOn
Context triple: [Natalia Shaposhnikova, hasEponymousSkillOn, uneven bars]
  • A. hasEponymousSkill chosen
    Indicates that an entity possesses a skill that is named after a particular person or entity.
  • B. indicatesSkill
    Indicates a relationship where one entity possesses, demonstrates, or is associated with a particular skill represented by another entity.
  • C. killsAt
    Indicates that one entity causes the death of another entity at a specific time or event.
  • D. hasSkillTree
    Indicates that an entity is associated with a structured progression of skills or abilities, typically organized in a branching or hierarchical form.
  • E. skilledIn
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • 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_69f349d25cbc8190869998de5915886b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720c32a60819083bd47b9b1903ebc completed May 3, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69f71cc8074c81909ae09bea2acf1a09 completed May 3, 2026, 10 a.m.
Created at: May 1, 2026, 2:03 a.m.