Triple

T4754484
Position Surface form Disambiguated ID Type / Status
Subject Rukmini E105554 entity
Predicate associatedWith P37 FINISHED
Object Lakshmi E449595 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: [Rukmini, associatedWith, Lakshmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakshmi
Context triple: [Rukmini, associatedWith, 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. 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."
  • C. 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.
  • D. Māyādevī
    Māyādevī is revered in Buddhist tradition as the queen and mother of Siddhartha Gautama, who became the Buddha.
  • E. Lalita Tripurasundari chosen
    Lalita Tripurasundari is a principal Hindu goddess of the Sri Vidya tradition, revered as the supremely beautiful and benevolent form of the Divine Mother who governs creation, preservation, and dissolution.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e882b08190b100582e6d2e0334 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b54f548190b6118305d2a9f8d4 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.