Triple

T12602972
Position Surface form Disambiguated ID Type / Status
Subject Zone L (Guthrie classification) E300903 entity
Predicate containsLanguage P2177 FINISHED
Object Nkoya
Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
 E1002263 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: Nkoya | Statement: [Zone L (Guthrie classification), containsLanguage, Nkoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nkoya
Context triple: [Zone L (Guthrie classification), containsLanguage, Nkoya]
  • A. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • B. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • E. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • 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: Nkoya
Triple: [Zone L (Guthrie classification), containsLanguage, Nkoya]
Generated description
Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nkoya
Target entity description: Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
  • A. Nyakyusa
    The Nyakyusa are a Bantu-speaking ethnic group primarily inhabiting the northern shores of Lake Malawi in southern Tanzania, known for their intensive agriculture and distinctive age-village social system.
  • B. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Mpongwe
    Mpongwe is a Bantu language variety spoken primarily in Gabon, recognized as one of the main dialects of the Myene language cluster.
  • E. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684d8b8d081908f271e75e6472914 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f687fffe9c81909c58129162a0c231 completed May 2, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69f688cc57048190ba7bacdcd6c0c182 completed May 2, 2026, 11:29 p.m.
Created at: April 9, 2026, 5:10 p.m.