Triple

T443152
Position Surface form Disambiguated ID Type / Status
Subject International League E10156 entity
Predicate playerDevelopmentRole P5518 FINISHED
Object preparing players for MLB competition 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: preparing players for MLB competition | Statement: [International League, playerDevelopmentRole, preparing players for MLB competition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playerDevelopmentRole
Context triple: [International League, playerDevelopmentRole, preparing players for MLB competition]
  • A. developedPlayer
    Indicates that one entity (such as a coach, club, or organization) was responsible for training, nurturing, or improving the skills and abilities of a player entity.
  • B. deFactoRole
    Indicates that an entity effectively functions in a role or capacity in practice, even if that role is not formally or officially assigned.
  • C. defensiveRole
    Indicates that an entity serves a protective or guarding function in relation to another entity or context.
  • D. typeOfRole chosen
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • E. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef43e8f88190a5d368add11a38c0 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2edde2b9c8190bd20b582eb4c5065 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.