Triple

T21053782
Position Surface form Disambiguated ID Type / Status
Subject Kutu people E518654 entity
Predicate speaks P741 FINISHED
Object Kutu language NE NERFINISHED

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: Kutu language | Statement: [Kutu people, speaks, Kutu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutu language
Context triple: [Kutu people, speaks, Kutu language]
  • A. Kutu language chosen
    The Kutu language is a Bantu language spoken by the Kutu people of central Tanzania, belonging to the Northeast Coast Bantu subgroup.
  • B. Kuteb language
    Kuteb language is a Jukunoid language spoken primarily by the Kuteb people in parts of Nigeria and Cameroon.
  • C. Wutun language
    The Wutun language is a highly mixed Sinitic–Mongolic–Tibetic language spoken by the Wutun people in Qinghai, China, notable for its extensive contact-induced grammatical and lexical fusion.
  • D. Chut language
    Chut language is a Vietic language spoken by the Chut ethnic group in parts of central Vietnam.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:36 p.m.