Triple

T6640181
Position Surface form Disambiguated ID Type / Status
Subject Grassfields languages E150566 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Nsoʼ language
The Nsoʼ language is a Grassfields Bantu language spoken primarily by the Nsoʼ people in Cameroon’s Northwest Region.
 E608325 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: Nsoʼ language | Statement: [Grassfields languages, hasNotableLanguage, Nsoʼ language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nsoʼ language
Context triple: [Grassfields languages, hasNotableLanguage, Nsoʼ language]
  • A. Soddo language
    The Soddo language is an Afroasiatic Semitic language spoken by the Soddo Gurage people of central Ethiopia.
  • B. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • C. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • D. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • E. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • 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: Nsoʼ language
Triple: [Grassfields languages, hasNotableLanguage, Nsoʼ language]
Generated description
The Nsoʼ language is a Grassfields Bantu language spoken primarily by the Nsoʼ people in Cameroon’s Northwest Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nsoʼ language
Target entity description: The Nsoʼ language is a Grassfields Bantu language spoken primarily by the Nsoʼ people in Cameroon’s Northwest Region.
  • A. Soddo language
    The Soddo language is an Afroasiatic Semitic language spoken by the Soddo Gurage people of central Ethiopia.
  • B. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • C. Nupe language
    The Nupe language is a Niger-Congo language spoken primarily by the Nupe people in central Nigeria, especially in the Middle Belt region.
  • D. Nyishi language
    The Nyishi language is a Tani (Tibeto-Burman) language spoken primarily by the Nyishi people of Arunachal Pradesh in northeastern India.
  • E. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff1fe8081908c32db341b0fb354 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e455edb88190983f74f39e55665c completed March 27, 2026, 8:11 p.m.
NEDg Description generation batch_69c6e8584bd08190bb45747aca6e9327 completed March 27, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69c6e8dcc9bc819099ba39f67677195b completed March 27, 2026, 8:30 p.m.
Created at: March 27, 2026, 2 p.m.