Triple

T21053526
Position Surface form Disambiguated ID Type / Status
Subject Guthrie Zone G40–G50 languages E518648 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Bondei 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: Bondei language | Statement: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Bondei language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bondei language
Context triple: [Guthrie Zone G40–G50 languages, hasNotableLanguage, Bondei language]
  • A. Bondei language chosen
    The Bondei language is a Bantu language spoken by the Bondei people of northeastern Tanzania, particularly in the Tanga region.
  • B. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • C. Chimariko language
    The Chimariko language is an extinct Native American language once spoken in northwestern California, often classified within the proposed Hokan language family.
  • D. Towa language
    Towa is a Native American language spoken by the Towa (Jemez) people of New Mexico and is part of the Puebloan language family.
  • E. Temori language
    The Temori language is an indigenous Uto-Aztecan language historically spoken by a small community in northern Mexico.
  • 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.