Triple

T19594104
Position Surface form Disambiguated ID Type / Status
Subject Atiratra E470307 entity
Predicate requiresPriestRole P34648 FINISHED
Object hotṛ 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: hotṛ | Statement: [Atiratra, requiresPriestRole, hotṛ]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresPriestRole
Context triple: [Atiratra, requiresPriestRole, hotṛ]
  • A. hasClergyRequirement chosen
    Indicates that a role, position, or activity requires the person involved to be a member of the clergy or to hold a specific clerical status.
  • B. requiresOrdinationRank
    Indicates that performing or holding a particular role, function, or responsibility is contingent upon having a specified level of ordination rank.
  • C. isCleric
    Indicates that an entity holds the role or status of a cleric, typically serving a religious or spiritual function.
  • D. hasClericalProtagonist
    Indicates that the main character in the work is a member of the clergy or holds a religious office.
  • E. hasClergyOrder
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
PD Predicate disambiguation batch_69e514dbdb988190b55931a8138c73e7 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:43 p.m.