Triple

T16169557
Position Surface form Disambiguated ID Type / Status
Subject Central Cameroon E392397 entity
Predicate hasLanguage P15 FINISHED
Object Bassa language
The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
 E1198361 NE FINISHED

How this triple was built (4 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: Bassa language | Statement: [Central Cameroon, hasLanguage, Bassa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bassa language
Context triple: [Central Cameroon, hasLanguage, Bassa language]
  • A. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • B. Bassa Nge language
    The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
  • C. Bambassi language
    The Bambassi language is a lesser-known Afroasiatic tongue spoken by communities in western Ethiopia, classified within the North Omotic branch.
  • D. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bassa language
Triple: [Central Cameroon, hasLanguage, Bassa language]
Generated description
The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bassa language
Target entity description: The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
  • A. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • B. Bassa Nge language
    The Bassa Nge language is a Nupoid language spoken by the Bassa Nge people of central Nigeria.
  • C. Bambassi language
    The Bambassi language is a lesser-known Afroasiatic tongue spoken by communities in western Ethiopia, classified within the North Omotic branch.
  • D. Bajelani language
    The Bajelani language is a lesser-known Northwestern Iranian language spoken primarily by Kurdish communities in parts of Iraq and Iran.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • F. None of above. chosen

Provenance (5 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb5e6d881908749683091afa90c completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bb6aac8190a33607abfe9a32d0 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff9bb09c48190881c0f70bae0aec8 completed May 10, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69fffa5186b88190971d3c5061503541 completed May 10, 2026, 3:24 a.m.
Created at: April 10, 2026, 5:02 a.m.