Triple

T13725194
Position Surface form Disambiguated ID Type / Status
Subject The X Factor (Georgia) E329135 entity
Predicate usesFormatElement P23479 FINISHED
Object auditions 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: auditions | Statement: [The X Factor (Georgia), usesFormatElement, auditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFormatElement
Context triple: [The X Factor (Georgia), usesFormatElement, auditions]
  • A. hasFormatElement chosen
    Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
  • B. usedInFormat
    Indicates that something (such as a method, standard, or component) is employed or applied within a particular format.
  • C. usedFormat
    Indicates that one entity employs or applies a particular format or representation in relation to another entity.
  • D. hasFormatCurrent
    Indicates that an entity is available or expressed in the currently used or most up-to-date format.
  • E. definesFormatFor
    Indicates that one entity specifies or establishes the format or structural pattern to be used by another entity.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f52e748190b49c34e10ab8ac34 completed April 14, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69dbbe92d77c81908e0244cffb7f78c5 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:55 p.m.