Triple

T21053795
Position Surface form Disambiguated ID Type / Status
Subject Kami language E518655 entity
Predicate glottologName P6521 FINISHED
Object Kami (Tanzania)
Kami (Tanzania) is a Bantu language spoken by the Kami people in parts of Tanzania.
 E1464746 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: Kami (Tanzania) | Statement: [Kami language, glottologName, Kami (Tanzania)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kami (Tanzania)
Context triple: [Kami language, glottologName, Kami (Tanzania)]
  • A. Bembe (Tanzania)
    Bembe (Tanzania) are an ethnic group in western Tanzania known for their Bantu language, agrarian lifestyle, and rich musical and ritual traditions.
  • B. Gisamjanga
    Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • C. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • D. Karonga
    Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
  • E. Kitwanga
    Kitwanga is a small Gitxsan community in northwestern British Columbia, Canada, known for its rich Indigenous culture and historic totem poles.
  • 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: Kami (Tanzania)
Triple: [Kami language, glottologName, Kami (Tanzania)]
Generated description
Kami (Tanzania) is a Bantu language spoken by the Kami people in parts of Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kami (Tanzania)
Target entity description: Kami (Tanzania) is a Bantu language spoken by the Kami people in parts of Tanzania.
  • A. Bembe (Tanzania)
    Bembe (Tanzania) are an ethnic group in western Tanzania known for their Bantu language, agrarian lifestyle, and rich musical and ritual traditions.
  • B. Gisamjanga
    Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • C. Kigoma
    Kigoma is a port city in western Tanzania located on the eastern shore of Lake Tanganyika and serving as a key regional transport and trade hub.
  • D. Karonga
    Karonga is a town in northern Malawi located on the shores of Lake Malawi, known as a regional transport hub and archaeological site.
  • E. Kitwanga
    Kitwanga is a small Gitxsan community in northwestern British Columbia, Canada, known for its rich Indigenous culture and historic totem poles.
  • 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.