Triple

T21053641
Position Surface form Disambiguated ID Type / Status
Subject Ruvu languages E518651 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kwere
Kwere is a Bantu language spoken primarily along the central coast of Tanzania by the Kwere people.
 E1464737 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: Kwere | Statement: [Ruvu languages, hasMemberLanguage, Kwere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kwere
Context triple: [Ruvu languages, hasMemberLanguage, Kwere]
  • A. Egingwah
    Egingwah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including expeditions toward the North Pole.
  • B. Kachingwe
    Kachingwe is the surname of American singer, songwriter, and actress Tinashe, reflecting her Zimbabwean heritage.
  • C. Jiwere
    Jiwere is the self-designated name of the Otoe people and their language, part of the Siouan language family of Native North America.
  • D. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • E. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • 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: Kwere
Triple: [Ruvu languages, hasMemberLanguage, Kwere]
Generated description
Kwere is a Bantu language spoken primarily along the central coast of Tanzania by the Kwere people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kwere
Target entity description: Kwere is a Bantu language spoken primarily along the central coast of Tanzania by the Kwere people.
  • A. Egingwah
    Egingwah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including expeditions toward the North Pole.
  • B. Kachingwe
    Kachingwe is the surname of American singer, songwriter, and actress Tinashe, reflecting her Zimbabwean heritage.
  • C. Jiwere
    Jiwere is the self-designated name of the Otoe people and their language, part of the Siouan language family of Native North America.
  • D. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • E. Kinyara
    Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7e087c81908712ddc63e8b1e6c completed April 21, 2026, 4:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0950666f7c8190887911302eb02940 completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a095247e93881908d3bd15a97169937 completed May 17, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0952af83108190ad14c26968109489 completed May 17, 2026, 5:31 a.m.
Created at: April 16, 2026, 2:36 p.m.