Triple

T16964295
Position Surface form Disambiguated ID Type / Status
Subject Nagamandala E411504 entity
Predicate hasLanguageContext P8383 FINISHED
Object Kannada E8600 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: Kannada | Statement: [Nagamandala, hasLanguageContext, Kannada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannada
Context triple: [Nagamandala, hasLanguageContext, Kannada]
  • A. Kannada chosen
    Kannada is a major Dravidian language predominantly spoken in the Indian state of Karnataka and surrounding regions, with a rich literary tradition spanning over a millennium.
  • B. Telugu
    Telugu is a major Dravidian language predominantly spoken in the Indian states of Andhra Pradesh and Telangana, known for its rich literary tradition and classical status.
  • C. Tulu
    Tulu is a Dravidian language spoken primarily in the coastal regions of Karnataka and northern Kerala in southwestern India, known for its rich oral traditions and distinct cultural identity.
  • D. Kannada script
    The Kannada script is a South Indian abugida primarily used to write the Kannada language, characterized by its rounded letters and shared historical roots with other Brahmic scripts.
  • E. Andhratharhi
    Andhratharhi is a town located in the Madhubani district of the Indian state of Bihar.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.