Triple

T6470080
Position Surface form Disambiguated ID Type / Status
Subject Kodava language E142325 entity
Predicate state P87 FINISHED
Object Karnataka E29477 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: Karnataka | Statement: [Kodava language, state, Karnataka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karnataka
Context triple: [Kodava language, state, Karnataka]
  • A. Karnataka chosen
    Karnataka is a state in southwestern India known for its diverse languages and cultures, major tech hub Bengaluru, and rich historical and architectural heritage.
  • B. Karnataka and Kerala
    Karnataka and Kerala are neighboring states in southern India known for their distinct cultures, languages, and landscapes ranging from coastal plains to the Western Ghats.
  • C. Kerala
    Kerala is a coastal state in southwestern India known for its backwaters, high literacy rate, distinctive Malayalam culture, and strong traditions in art, Ayurveda, and religious diversity.
  • D. Tulu Nadu
    Tulu Nadu is a coastal region in southwestern India, primarily in present-day Karnataka and Kerala, known for its distinct Tulu language, culture, and historical traditions.
  • E. Tamil Nadu
    Tamil Nadu is a state in southern India known for its rich Dravidian cultural heritage, classical arts, and major urban centers like Chennai.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a2e896481908ed004e3b0a33121 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c43893c8190b99130bb9a3afc40 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:50 p.m.