Triple

T1486589
Position Surface form Disambiguated ID Type / Status
Subject Karnataka E29477 entity
Predicate hasRiver P165 FINISHED
Object Kaveri E10721 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: Kaveri | Statement: [Karnataka, hasRiver, Kaveri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaveri
Context triple: [Karnataka, hasRiver, Kaveri]
  • A. Kaveri chosen
    Kaveri is a major river in southern India, revered for its cultural significance and vital role in irrigation, agriculture, and hydroelectric power across the states of Karnataka and Tamil Nadu.
  • B. Arkavathi
    Arkavathi is a river in the Indian state of Karnataka that flows through the Bangalore region before joining the Kaveri.
  • C. Amravati
    Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
  • D. 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.
  • E. Tungabhadra River
    The Tungabhadra River is a significant river in southern India that flows through the states of Karnataka, Andhra Pradesh, and Telangana, supporting irrigation, hydroelectric projects, and several historic temple towns along its course.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a3325881909bbc55efc04ad60f completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69afbba3f0ec81909c73a0e3a0e0d3f2 completed March 10, 2026, 6:35 a.m.
Created at: March 1, 2026, 8:12 p.m.