Triple

T6470066
Position Surface form Disambiguated ID Type / Status
Subject Kodava language E142325 entity
Predicate alternativeName P39 FINISHED
Object Kodava takk E169791 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: Kodava takk | Statement: [Kodava language, alternativeName, Kodava takk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kodava takk
Context triple: [Kodava language, alternativeName, Kodava takk]
  • A. Kodava chosen
    Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
  • B. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • C. Kuttantavar
    Kuttantavar is a regional name for Iravan, a minor but significant figure in the Mahabharata epic who is venerated in specific South Indian folk and temple traditions.
  • D. Tigak
    Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
  • E. Kopaida
    Kopaida is the Greek name for Lake Copais, a former large karstic lake in Boeotia, central Greece, that was historically significant for its drainage and agricultural reclamation.
  • 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_69c6539c93c481909bed35b68ce420d8 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.