Triple

T11796984
Position Surface form Disambiguated ID Type / Status
Subject dilogún E280525 entity
Predicate requiresPreparationOf P68707 FINISHED
Object ritual space 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: ritual space | Statement: [dilogún, requiresPreparationOf, ritual space]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPreparationOf
Context triple: [dilogún, requiresPreparationOf, ritual space]
  • A. preparationRequirement chosen
    Indicates that one entity must be prepared, configured, or made ready as a necessary condition before another entity, action, or process can occur or be valid.
  • B. preparesFor
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • C. preparationInvolved
    Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
  • D. preparationBy
    Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
  • E. preparesWith
    Indicates that one entity is used as a means, tool, or method by which another entity is prepared or made ready.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69d8a2491f048190853239bc05090bf4 completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.