Triple

T8270655
Position Surface form Disambiguated ID Type / Status
Subject ladies' singles figure skating E193418 entity
Predicate jumpTypes P6160 FINISHED
Object toe loop 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: toe loop | Statement: [ladies' singles figure skating, jumpTypes, toe loop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: jumpTypes
Context triple: [ladies' singles figure skating, jumpTypes, toe loop]
  • A. jumpLength
    Indicates the distance covered by an entity in a single jump.
  • B. movementType chosen
    Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
  • C. bypassType
    Indicates the specific kind or method of bypass used to circumvent or route around a normal process, path, or control.
  • D. movement5Key
    Indicates a relationship where an entity’s movement is characterized or controlled by a specific “5-key” input or pattern (such as a five-key control scheme or movement mode).
  • E. timeJump
    Indicates a discontinuous transition of an entity from one point in time to another, skipping the intervening duration.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795243fc8190a66afef7476e1147 completed March 31, 2026, 7:35 a.m.
PD Predicate disambiguation batch_69cb70a4525481909399d313a6247ace completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:50 p.m.