Triple

T7362766
Position Surface form Disambiguated ID Type / Status
Subject Kodava E169791 entity
Predicate spokenIn P2266 FINISHED
Object Kodagu district E325183 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: Kodagu district | Statement: [Kodava, spokenIn, Kodagu district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kodagu district
Context triple: [Kodava, spokenIn, Kodagu district]
  • A. Kodagu district chosen
    Kodagu district is a hilly, coffee-growing region in the Western Ghats of Karnataka, India, known for its scenic landscapes, rich biodiversity, and distinct Kodava culture.
  • B. Guna district
    Guna district is an administrative district in the central Indian state of Madhya Pradesh, with its headquarters in the town of Guna.
  • C. Karur district
    Karur district is an administrative district in the Indian state of Tamil Nadu, known for its textile industry and central location within the state.
  • D. Idukki district
    Idukki district is a mountainous, forest-rich district in the Indian state of Kerala, known for its wildlife sanctuaries, hydroelectric projects, and the famous Idukki Arch Dam.
  • E. Namakkal district
    Namakkal district is an administrative district in the state of Tamil Nadu, India, known for its agricultural economy and the historic Namakkal Fort.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15f218081909b5cc7a8cc695055 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.