Triple

T4076848
Position Surface form Disambiguated ID Type / Status
Subject Dravidian peoples E86784 entity
Predicate associatedLanguage P4185 FINISHED
Object Tulu language E86782 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: Tulu language | Statement: [Dravidian peoples, associatedLanguage, Tulu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulu language
Context triple: [Dravidian peoples, associatedLanguage, Tulu language]
  • A. Tulu chosen
    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.
  • B. Kurukh
    Kurukh is an indigenous Dravidian language spoken primarily by the Oraon tribal communities in eastern and central India.
  • C. Swati language
    Swati language is a Bantu language of the Nguni group spoken primarily in Eswatini and parts of South Africa.
  • D. Tulu script
    Tulu script is a historical Brahmic script from southern India traditionally used to write the Tulu language, closely related to the Malayalam script.
  • E. Embu language
    The Embu language is a Bantu language spoken primarily by the Embu people of central Kenya, closely related to other Mount Kenya languages such as Kikuyu and Meru.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc4ba3f08190a6c6aaf6e9c99bd5 completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b5c2c948190a2548e26be3eedfd completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:39 p.m.