Triple

T11199565
Position Surface form Disambiguated ID Type / Status
Subject Milo of Croton E265002 entity
Predicate hasCanonicalExampleRole P59287 FINISHED
Object example of overload principle in sports science 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: example of overload principle in sports science | Statement: [Milo of Croton, hasCanonicalExampleRole, example of overload principle in sports science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCanonicalExampleRole
Context triple: [Milo of Croton, hasCanonicalExampleRole, example of overload principle in sports science]
  • A. canonicalRole chosen
    Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
  • B. hasCanonicalRepresentation
    Indicates that one entity is the standard or authoritative form in which another entity is represented.
  • C. hasCanonicalAspect
    Indicates that an entity is associated with its standard or officially recognized aspect, form, or representation.
  • D. hasCanonicalReference
    Indicates that one entity serves as the authoritative or standard reference source for another entity.
  • E. hasEquivalentRole
    Indicates that two entities hold roles that are functionally the same or interchangeable in a given context.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
PD Predicate disambiguation batch_69d75cf83464819087529d47d025d313 completed April 9, 2026, 8:02 a.m.
Created at: April 8, 2026, 9:29 p.m.