Triple

T247138
Position Surface form Disambiguated ID Type / Status
Subject Lotus E5061 entity
Predicate associatedWithDeity P1481 FINISHED
Object Saraswati E19478 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: Saraswati | Statement: [Lotus, associatedWithDeity, Saraswati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saraswati
Context triple: [Lotus, associatedWithDeity, Saraswati]
  • A. Saraswati chosen
    Saraswati is the Hindu goddess of knowledge, wisdom, music, and the arts, revered as the divine embodiment of learning and creative inspiration.
  • B. Yamuna
    Yamuna is a major sacred river of northern India, flowing through cities like Delhi and Agra and serving as a key tributary of the Ganges.
  • C. Namami Gange
    Namami Gange is an Indian government flagship initiative aimed at cleaning, rejuvenating, and protecting the Ganges River and its ecosystem.
  • D. Narmada
    Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
  • E. Ganges
    The Ganges is a major river in northern India that is considered sacred in Hinduism and supports hundreds of millions of people along its basin.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f4e35688190b8c8714c7f06c6ee completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.