Triple

T10160763
Position Surface form Disambiguated ID Type / Status
Subject Christianismi Restitutio E233882 entity
Predicate sectionContains P43838 FINISHED
Object discussion of the circulation of blood between heart and lungs 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: discussion of the circulation of blood between heart and lungs | Statement: [Christianismi Restitutio, sectionContains, discussion of the circulation of blood between heart and lungs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectionContains
Context triple: [Christianismi Restitutio, sectionContains, discussion of the circulation of blood between heart and lungs]
  • A. hasSectionIn
    Indicates that one entity contains or includes another entity as a section or subdivision within it.
  • B. hasSectionWith
    Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
  • C. hasSectionOn chosen
    Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
  • D. containsText
    Indicates that one entity includes the specified text string within its content.
  • E. containedWith
    Indicates that one entity is located or kept inside the bounds or interior space of 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
PD Predicate disambiguation batch_69cd4ba795808190acc9124c98c6e40f completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:09 p.m.