Triple

T4985956
Position Surface form Disambiguated ID Type / Status
Subject Athlete Performance Awards E112001 entity
Predicate canBeAdjustedFor P2187 FINISHED
Object changes in athlete performance level 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: changes in athlete performance level | Statement: [Athlete Performance Awards, canBeAdjustedFor, changes in athlete performance level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeAdjustedFor
Context triple: [Athlete Performance Awards, canBeAdjustedFor, changes in athlete performance level]
  • A. adjustmentType
    Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
  • B. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • C. canBeAdaptedBy chosen
    Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
  • D. canBeModifiedBetween
    Indicates that something is allowed or able to be changed during a specified interval or between defined points or states.
  • E. canSet
    Indicates that one entity has the ability or permission to assign, configure, or change a property, value, or state of another entity.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74249a8c8190952680aee06a9286 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd71492dec8190af4c27a3043b35cc completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:33 p.m.