Triple

T6446493
Position Surface form Disambiguated ID Type / Status
Subject Makua group E138355 entity
Predicate hasLanguage P15 FINISHED
Object Emakhuwa
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
 E594813 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: Emakhuwa | Statement: [Makua group, hasLanguage, Emakhuwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emakhuwa
Context triple: [Makua group, hasLanguage, Emakhuwa]
  • A. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • D. Rumuibekwe
    Rumuibekwe is a prominent residential and commercial town within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • E. Amakhosi
    Amakhosi is the popular nickname of South African football club Kaizer Chiefs, reflecting its status as one of the country’s most successful and widely supported teams.
  • 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: Emakhuwa
Triple: [Makua group, hasLanguage, Emakhuwa]
Generated description
Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emakhuwa
Target entity description: Emakhuwa is a Bantu language widely spoken in northern Mozambique, primarily by the Makua people.
  • A. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • B. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • C. Makgoba
    Makgoba is a South African surname most prominently associated with Thabo Makgoba, the Anglican Archbishop of Cape Town.
  • D. Rumuibekwe
    Rumuibekwe is a prominent residential and commercial town within Obio-Akpor Local Government Area in Rivers State, Nigeria.
  • E. Amakhosi
    Amakhosi is the popular nickname of South African football club Kaizer Chiefs, reflecting its status as one of the country’s most successful and widely supported teams.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64fba85a08190ad270b010294f86a completed March 27, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c6508c2fb481909da94b4f67e95ecf completed March 27, 2026, 9:40 a.m.
Created at: March 22, 2026, 4:46 p.m.