Triple

T6093703
Position Surface form Disambiguated ID Type / Status
Subject Varanasi district E135826 entity
Predicate hasRiver P165 FINISHED
Object Varuna River E210812 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: Varuna River | Statement: [Varanasi district, hasRiver, Varuna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varuna River
Context triple: [Varanasi district, hasRiver, Varuna River]
  • A. Varuna River chosen
    The Varuna River is a minor but historically significant river in northern India that flows near Varanasi, contributing to the city’s name and sacred geography.
  • B. Tunga River
    The Tunga River is a major river in the Indian state of Karnataka that originates in the Western Ghats and is one of the two headstreams that join to form the Tungabhadra River.
  • C. Venna River
    The Venna River is a tributary of the Krishna River in western India, flowing through Maharashtra and known for its scenic course near Mahabaleshwar and Satara.
  • D. Padma River
    The Padma River is a major distributary of the Ganges in Bangladesh, known for its vast width, powerful currents, and crucial role in the country’s agriculture, fisheries, and transportation.
  • E. Purus River
    The Purus River is a long, meandering river in western Brazil and eastern Peru that drains a vast area of Amazon rainforest and supports rich biodiversity and remote riverine communities.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9516ec819093e94ee8d3244e1b completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b0ad9188190ad74c33802f50783 completed March 29, 2026, 12:28 p.m.
Created at: March 22, 2026, 4:12 p.m.