Triple

T21053528
Position Surface form Disambiguated ID Type / Status
Subject Guthrie Zone G40–G50 languages E518648 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Ngindo 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: Ngindo language | Statement: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Ngindo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngindo language
Context triple: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Ngindo language]
  • A. Ngindo language chosen
    The Ngindo language is a Bantu language spoken by the Ngindo people of southeastern Tanzania.
  • B. Nsenga language
    The Nsenga language is a Bantu language spoken primarily in Zambia and neighboring regions, closely related to other languages of the area such as Tumbuka and Chewa.
  • C. Lusoga language
    The Lusoga language is a Bantu language spoken primarily by the Basoga people in eastern Uganda.
  • D. Giriama language
    The Giriama language is a Bantu language spoken primarily by the Giriama, one of the Mijikenda communities along Kenya’s coastal region.
  • E. Kaonde language
    The Kaonde language is a Bantu language spoken primarily by the Kaonde people of northwestern Zambia and parts of the Democratic Republic of the Congo.
  • 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.