Triple

T32054350
Position Surface form Disambiguated ID Type / Status
Subject Kamakshi E818573 entity
Predicate hasTempleRituals P4193 FINISHED
Object Agamic worship 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: Agamic worship | Statement: [Kamakshi, hasTempleRituals, Agamic worship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTempleRituals
Context triple: [Kamakshi, hasTempleRituals, Agamic worship]
  • A. hasRituals
    Indicates that one entity performs, observes, or is associated with specific rituals in relation to another entity or context.
  • B. hasTempleOf
    Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
  • C. hasRitualCalendar
    Indicates that an entity maintains or is associated with a structured schedule of ritual or ceremonial events.
  • D. hasRitual chosen
    Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
  • E. templePractice
    Indicates a religious or ritual activity that is performed within or in connection with a temple.
  • 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_69f348fdacec8190b9f74375ca3b2094 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: May 1, 2026, 12:21 a.m.