Triple

T2422000
Position Surface form Disambiguated ID Type / Status
Subject Ranna E53438 entity
Predicate ethnicGroup P194 FINISHED
Object Kannadiga 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: Kannadiga | Statement: [Ranna, ethnicGroup, Kannadiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannadiga
Context triple: [Ranna, ethnicGroup, Kannadiga]
  • A. Andhratharhi
    Andhratharhi is a town located in the Madhubani district of the Indian state of Bihar.
  • B. 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.
  • C. Kolami
    Kolami is a Dravidian language spoken primarily by the Kolam tribal communities in central India, especially in parts of Maharashtra and Telangana.
  • D. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • E. 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.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc971093481909c8924d58187860c completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7f0738819091d06a7279f45d61 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:42 p.m.