Triple

T33541522
Position Surface form Disambiguated ID Type / Status
Subject PureSpouses E859081 entity
Predicate purityScope P14568 FINISHED
Object Body 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: Body | Statement: [PureSpouses, purityScope, Body]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: purityScope
Context triple: [PureSpouses, purityScope, Body]
  • A. purity
    Indicates that an entity possesses a high degree of cleanliness, integrity, or freedom from contamination, corruption, or mixed elements.
  • B. typeOfPurification
    Indicates the specific purification method or process applied to an entity or substance.
  • C. coverageScope chosen
    Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
  • D. purifiedBy
    Indicates that something has been cleansed, refined, or made pure through the action or process performed by another agent or method.
  • E. scopeOfControl
    Indicates the extent or range within which an entity has authority, influence, or control over another entity or set of entities.
  • 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_69f3497a5be08190a39b12736899e034 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f70c17d88190aa74afc2dd2a0467 completed May 3, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69f6f6632dfc8190af85e258c8519207 completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:39 a.m.