Triple

T24835795
Position Surface form Disambiguated ID Type / Status
Subject Class A E621466 entity
Predicate typicalPlayerStage P9657 FINISHED
Object developing professional players 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: developing professional players | Statement: [Class A, typicalPlayerStage, developing professional players]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPlayerStage
Context triple: [Class A, typicalPlayerStage, developing professional players]
  • A. typicalPlayingPosition
    Indicates the usual role or position an entity regularly occupies when participating in a game, sport, or similar activity.
  • B. stageOf chosen
    Indicates that one entity represents a particular phase, step, or developmental period within the progression or lifecycle of another entity.
  • C. typicalPlayerProfile
    Indicates the usual or characteristic attributes, behaviors, or demographics associated with a representative player in a given context.
  • D. typicalPlayerEligibility
    Indicates that an entity meets the usual or standard conditions required to be eligible to participate as a player in a given context.
  • E. typicalGame
    Indicates a relationship where one entity is characterized as a standard, representative, or commonly occurring example of a game for the other entity or 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_69e2fac185d48190a0a6073ad1f6b792 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
Created at: April 18, 2026, 5:17 a.m.