Triple

T17852800
Position Surface form Disambiguated ID Type / Status
Subject Ewondo people E445851 entity
Predicate educationLanguage P56 FINISHED
Object Ewondo 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: Ewondo language | Statement: [Ewondo people, educationLanguage, Ewondo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ewondo language
Context triple: [Ewondo people, educationLanguage, Ewondo language]
  • A. Ewondo language chosen
    Ewondo is a Bantu language spoken primarily in central Cameroon, notably around the capital Yaoundé, by the Ewondo (Yaoundé) people.
  • B. Bulu-Ewondo languages
    The Bulu-Ewondo languages are a subgroup of Bantu languages spoken primarily in Cameroon, closely associated with the Beti-Fang linguistic and cultural area.
  • C. Sateré-Mawé language
    The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • D. Effutu language
    Effutu language is a Niger-Congo language spoken primarily by the Effutu people in and around the coastal town of Winneba in Ghana.
  • E. Tontemboan language
    The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4900113f881908859f212c6ca3d9b completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.