Triple

T19801837
Position Surface form Disambiguated ID Type / Status
Subject Muchukunda River E475698 entity
Predicate drainageBasin P1559 FINISHED
Object Krishna River system NE NERFINISHED

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: Krishna River system | Statement: [Muchukunda River, drainageBasin, Krishna River system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna River system
Context triple: [Muchukunda River, drainageBasin, Krishna River system]
  • A. Krishna River basin chosen
    The Krishna River basin is a major river drainage region in southern India that supports extensive agriculture, hydropower, and diverse ecosystems across several states.
  • B. Krishna River
    The Krishna River is one of the major rivers of southern India, flowing through Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
  • C. Krishni River
    The Krishni River is a minor river in northern India that flows through parts of Uttar Pradesh and Haryana before joining the Hindon River.
  • D. Siva River
    The Siva River is a tributary waterway in Russia that feeds into the Kama River within the Volga basin.
  • E. Ranganadi River
    The Ranganadi River is a significant tributary of the Brahmaputra in northeastern India, flowing through Arunachal Pradesh and Assam and supporting irrigation, hydropower, and local ecosystems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cc995c81908e4ca85b0639d541 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.