Triple

T10615536
Position Surface form Disambiguated ID Type / Status
Subject Chakrapani Temple E276108 entity
Predicate hasSubShrineFor P80216 FINISHED
Object Lakshmi E559825 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: [Chakrapani Temple, hasSubShrineFor, Lakshmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakshmi
Context triple: [Chakrapani Temple, hasSubShrineFor, Lakshmi]
  • A. Sri (Lakshmi) chosen
    Sri (Lakshmi) is the Hindu goddess of wealth, prosperity, and fortune, revered as the divine consort of Lord Vishnu.
  • B. Mahalaxmi
    Mahalaxmi is a coastal neighborhood in South Mumbai, India, known for its seafront location, racecourse, and proximity to prominent religious landmarks.
  • C. Lakshmi avatar
    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.
  • D. 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."
  • E. Kamakshi
    Kamakshi is a revered form of the Hindu goddess Parvati, worshipped especially in Kanchipuram as a central deity of Shakta tradition.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6f31b72d081908ec8029cd9f6d814 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecd44b08190bccbedd63544ba17 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.