Triple

T1882932
Position Surface form Disambiguated ID Type / Status
Subject Paleru River E39892 entity
Predicate drainageBasin P1559 FINISHED
Object Krishna drainage basin E41019 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: Krishna drainage basin | Statement: [Paleru River, drainageBasin, Krishna drainage basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna drainage basin
Context triple: [Paleru River, drainageBasin, Krishna drainage basin]
  • A. Banas River
    The Banas River is a significant river in northwestern India that flows through Rajasthan as a major tributary of the Chambal River.
  • B. Hathmati River
    The Hathmati River is a tributary river in the Indian state of Gujarat that feeds into the larger Sabarmati River system.
  • C. Marico River
    The Marico River is a significant watercourse in southern Africa that forms part of the upper reaches of the Limpopo River system.
  • D. Baspa River
    The Baspa River is a Himalayan river in Himachal Pradesh, India, known for flowing through the scenic Kinnaur region and the Baspa (Sangla) Valley before joining the Sutlej.
  • E. Kistna River chosen
    The Kistna River, more commonly known as the Krishna River, is a major river in southern India that flows through the states of Maharashtra, Karnataka, Telangana, and Andhra Pradesh before emptying into the Bay of Bengal.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fd4d6881908b8266bdae1517ce completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58b843a081908c49ebb944d872d6 completed March 9, 2026, 5:20 a.m.
Created at: March 4, 2026, 7:34 p.m.