Triple

T4871906
Position Surface form Disambiguated ID Type / Status
Subject Embar E109103 entity
Predicate devotionToDeity P1194 FINISHED
Object Lakshmi E471155 NE 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: Lakshmi | Statement: [Embar, devotionToDeity, Lakshmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakshmi
Context triple: [Embar, devotionToDeity, Lakshmi]
  • A. Mahalaxmi
    Mahalaxmi is a coastal neighborhood in South Mumbai, India, known for its seafront location, racecourse, and proximity to prominent religious landmarks.
  • B. Lakshmi avatar chosen
    Lakshmi avatar refers to any incarnation or manifestation of the Hindu goddess Lakshmi, particularly as she appears on earth in forms such as Rukmini, the consort of Krishna.
  • C. Padma Parvati Lakshmi
    Padma Parvati Lakshmi is an Indian-American author, model, and television host best known for presenting the cooking competition show "Top Chef."
  • D. Santoshi Mata
    Santoshi Mata is a widely revered Hindu goddess associated with contentment and satisfaction, worshipped especially by women seeking peace and prosperity in their families.
  • E. Māyādevī
    Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7163789c81909d5c7d0f6756ca58 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c41d21c81908cfbe658c65cca6f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:27 p.m.