Triple

T5443680
Position Surface form Disambiguated ID Type / Status
Subject Lingayatism E122195 entity
Predicate scriptureLanguage P1187 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: [Lingayatism, scriptureLanguage, Kannada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannada
Context triple: [Lingayatism, scriptureLanguage, 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ccdd648190940c04781c4222ec completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4881d6308190a4e7cb784eb520c9 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:07 p.m.