Triple

T36878471
Position Surface form Disambiguated ID Type / Status
Subject Nikiya E911406 entity
Predicate relationshipToHighBrahmin P205095 FINISHED
Object desired by High Brahmin 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: desired by High Brahmin | Statement: [Nikiya, relationshipToHighBrahmin, desired by High Brahmin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToHighBrahmin
Context triple: [Nikiya, relationshipToHighBrahmin, desired by High Brahmin]
  • A. intraVedicRelation
    Indicates a relationship that connects elements within the Vedic corpus itself, such as links between Vedic texts, concepts, or traditions.
  • B. relationshipTypeWithSohni
    Indicates the specific nature or category of the relationship an entity has with Sohni.
  • C. relationshipToBuddha
    Indicates the type of relational connection an entity has to the Buddha, such as familial, spiritual, or social association.
  • D. basisOfRelationship
    Indicates that one entity serves as the foundational reason, cause, or justification for the relationship that exists between two or more entities.
  • E. relationshipToRa
    Indicates a specified type of relational connection that an entity has to the entity Ra.
  • F. None of above. chosen

Provenance (4 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:13 p.m.