Triple

T902695
Position Surface form Disambiguated ID Type / Status
Subject Navaratri E19479 entity
Predicate primaryDeity P7648 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: [Navaratri, primaryDeity, Saraswati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saraswati
Context triple: [Navaratri, primaryDeity, 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. Saraswati River
    The Saraswati River is a legendary and partially identified ancient river of the Indian subcontinent, revered in Hindu tradition and Vedic texts as a sacred and life-giving waterway.
  • C. Swati
    Swati is a Bantu language of the Nguni group, primarily spoken in Eswatini and parts of South Africa.
  • D. Sarayu
    Sarayu is a significant river in northern India, traditionally associated with the ancient city of Ayodhya and revered in Hindu mythology.
  • E. Satadru
    Satadru is an ancient name for the Sutlej River, one of the major rivers of the northwestern Indian subcontinent and a key tributary of the Indus system.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b9339081909af5ab231be39bb0 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c88f89481908914e4f4c36cd009 completed March 8, 2026, 6:51 a.m.
Created at: March 1, 2026, 7:39 p.m.