Triple

T8564442
Position Surface form Disambiguated ID Type / Status
Subject Kurumba languages E202768 entity
Predicate hasMember P10 FINISHED
Object Pal Kurumba language E202768 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: Pal Kurumba language | Statement: [Kurumba languages, hasMember, Pal Kurumba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pal Kurumba language
Context triple: [Kurumba languages, hasMember, Pal Kurumba language]
  • A. Kambaata language
    The Kambaata language is a Cushitic language of the Afroasiatic family spoken primarily by the Kambaata people in southern Ethiopia.
  • B. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • C. Kurumba languages chosen
    The Kurumba languages are a group of closely related Dravidian tribal languages spoken primarily by the Kurumba people in parts of southern India, especially in the Nilgiri and surrounding hill regions.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Kambera language
    Kambera language is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia, known for its complex morphology and rich oral tradition.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb84a6988190ba6852f72c8918ca completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:20 p.m.