Triple

T24023098
Position Surface form Disambiguated ID Type / Status
Subject The Voice of Germany E594877 entity
Predicate usesBlindAuditions P99479 FINISHED
Object yes 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: yes | Statement: [The Voice of Germany, usesBlindAuditions, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesBlindAuditions
Context triple: [The Voice of Germany, usesBlindAuditions, yes]
  • A. usesBlindJudging chosen
    Indicates that an evaluation or competition is conducted without judges knowing the identities of the participants.
  • B. usesJuries
    Indicates that a legal system, court, or process employs juries to participate in deciding cases or determining outcomes.
  • C. hasJudges
    Indicates that one entity serves as a judge or panel of judges for another entity, such as an event, competition, or legal case.
  • D. judgesAre
    Indicates that one entity serves as a judge or evaluator of another entity.
  • E. usesLayJudges
    Indicates that a legal system, court, or trial incorporates lay judges—non-professional, typically citizen adjudicators—into its decision-making process.
  • 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_69e288be2c288190a3a46006945557f7 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d7680d5c81908d6a670159879236 completed April 29, 2026, 10:03 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:52 p.m.