Triple

T37966952
Position Surface form Disambiguated ID Type / Status
Subject Sita Ramachandra E947169 entity
Predicate representsRelationship P84787 FINISHED
Object divine husband–wife bond 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: divine husband–wife bond | Statement: [Sita Ramachandra, representsRelationship, divine husband–wife bond]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsRelationship
Context triple: [Sita Ramachandra, representsRelationship, divine husband–wife bond]
  • A. representsInRelationsWith
    Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
  • B. definesRelationshipAs
    Indicates that one entity explicitly specifies or establishes the type or nature of the relationship that holds between two or more entities.
  • C. definesRelationshipBetween
    Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
  • D. coversRelationship
    Indicates that one entity extends over, includes, or provides encompassing coverage for another entity or set of entities.
  • E. subjectRelation chosen
    Indicates that one entity stands in a specified relational role or connection to 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_69f76ef7062c819091bfacb7e83aa1e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ffc1550cb481908628e446d9b67f7b completed May 9, 2026, 11:20 p.m.
PD Predicate disambiguation batch_69ffc10a74708190ae90e2c378791f70 completed May 9, 2026, 11:19 p.m.
Created at: May 3, 2026, 4:20 p.m.