Triple

T22264339
Position Surface form Disambiguated ID Type / Status
Subject Yogini Tantra E550309 entity
Predicate mentionsPlace P831 FINISHED
Object Kamakhya NE NERFINISHED

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: Kamakhya | Statement: [Yogini Tantra, mentionsPlace, Kamakhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamakhya
Context triple: [Yogini Tantra, mentionsPlace, Kamakhya]
  • A. Goddess Kamakhya chosen
    Goddess Kamakhya is a major Hindu mother goddess associated with fertility, desire, and feminine power, especially revered in the Shakta tradition of Assam.
  • B. Chamunda Devi
    Chamunda Devi is a fierce Hindu goddess, revered as a protective form of Durga and especially worshipped as the patron deity of the royal family of Jodhpur.
  • C. Kamakshi
    Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
  • D. Chamunda
    Chamunda is a fierce and terrifying aspect of the Hindu goddess Kali, associated with destruction of evil, cremation grounds, and protective wrath.
  • E. Kundalakesi
    Kundalakesi is an ancient Tamil Buddhist epic poem, now largely lost, that narrates the spiritual transformation of a passionate woman who renounces worldly life to become a nun.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141ba5c9481909e24067133918ae2 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.