Triple

T26622864
Position Surface form Disambiguated ID Type / Status
Subject RB Leipzig II E668250 entity
Predicate ownsYouthFocus P44495 FINISHED
Object player development 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: player development | Statement: [RB Leipzig II, ownsYouthFocus, player development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ownsYouthFocus
Context triple: [RB Leipzig II, ownsYouthFocus, player development]
  • A. youthAcademyFocus chosen
    Indicates that an organization or program is primarily dedicated to developing and training young or junior participants.
  • B. youthWing
    Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
  • C. youthTier
    Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
  • D. sentDownYouth
    Indicates that a person was sent from an urban area to live and work in the countryside, typically as part of a state-organized youth relocation or re-education program.
  • E. youthSport
    Indicates a relationship where an individual participates in or is associated with a sport specifically organized for young people.
  • 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615e75cac8190972274bf5552a6d4 completed May 2, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 2:21 a.m.