Triple

T16364999
Position Surface form Disambiguated ID Type / Status
Subject Gurage people E397411 entity
Predicate nativeLanguage P151 FINISHED
Object Gumer language E397415 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: Gumer language | Statement: [Gurage people, nativeLanguage, Gumer language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gumer language
Context triple: [Gurage people, nativeLanguage, Gumer language]
  • A. Gumer language chosen
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • B. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • C. Gurene language
    The Gurene language is a Gur language spoken primarily by the Frafra people in northern Ghana and parts of Burkina Faso.
  • D. Rumsen language
    Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
  • E. Godoberi language
    The Godoberi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by the Godoberi people in the Republic of Dagestan, Russia.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3bb5e481909669164a37d76b19 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc0b3d4819089e6fba536ec8a11 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.