Triple

T16221806
Position Surface form Disambiguated ID Type / Status
Subject Manguissa language E393744 entity
Predicate closelyRelatedTo P37 FINISHED
Object Ewondo language E91177 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: Ewondo language | Statement: [Manguissa language, closelyRelatedTo, Ewondo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ewondo language
Context triple: [Manguissa language, closelyRelatedTo, 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. Sateré-Mawé language
    The Sateré-Mawé language is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • C. 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.
  • D. 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.
  • E. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.