Triple

T9831675
Position Surface form Disambiguated ID Type / Status
Subject Cavadee E238999 entity
Predicate preparatoryPractice P2534 FINISHED
Object abstinence from meat 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: abstinence from meat | Statement: [Cavadee, preparatoryPractice, abstinence from meat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preparatoryPractice
Context triple: [Cavadee, preparatoryPractice, abstinence from meat]
  • A. initiationPractice
    Indicates the act of beginning, launching, or formally starting a particular practice, process, or activity.
  • B. preparesFor chosen
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
  • C. homePractice
    Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
  • D. preparationBy
    Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
  • E. preparedFor
    Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb335623c8190902de29795bce87d completed April 2, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:32 p.m.