Triple

T1802439
Position Surface form Disambiguated ID Type / Status
Subject Southern Dravidian E39750 entity
Predicate includes P1393 FINISHED
Object Kodava language E142325 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 language | Statement: [Southern Dravidian, includes, Kodava language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kodava language
Context triple: [Southern Dravidian, includes, Kodava language]
  • A. Kodava language chosen
    Kodava language is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
  • B. Karelian language
    The Karelian language is a Uralic language closely related to Finnish, traditionally spoken by the Karelian people in parts of Finland and northwestern Russia.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Kavalan language
    The Kavalan language is an endangered Austronesian language of the indigenous Kavalan people of northeastern Taiwan.
  • E. Samogitian language
    The Samogitian language is a distinct variety of Lithuanian spoken primarily in the Samogitia region, notable for its unique phonetic and grammatical features that set it apart from standard Lithuanian.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656c4c5481908468c6e6f9c4bfc0 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5db1c7c81908c25e62dca1cb825 completed March 8, 2026, 5:46 p.m.
Created at: March 4, 2026, 7:32 p.m.