Triple

T12483102
Position Surface form Disambiguated ID Type / Status
Subject SG Blaubach-Diedelkopf E298361 entity
Predicate youthDevelopment P80774 FINISHED
Object operates youth football teams 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: operates youth football teams | Statement: [SG Blaubach-Diedelkopf, youthDevelopment, operates youth football teams]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: youthDevelopment
Context triple: [SG Blaubach-Diedelkopf, youthDevelopment, operates youth football teams]
  • A. youthAcademyFocus
    Indicates that an organization or program is primarily dedicated to developing and training young or junior participants.
  • B. youthCareerClub
    Indicates the club or team an individual was associated with during their youth or junior career stage.
  • C. youthWing
    Indicates that one organization serves as the youth or junior wing of another organization, typically representing younger members aligned with the parent body.
  • D. youthLeader
    Indicates that an entity holds a leadership role within a youth-focused group, organization, or activity.
  • E. includesYouthLeagues chosen
    Indicates that the subject entity offers, contains, or is associated with organized leagues or programs specifically for youth participants.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e8a706c8190873623eab7db607d completed April 10, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69d94d41f3cc8190a3331fb9a895306f completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:56 p.m.