Triple

T16298610
Position Surface form Disambiguated ID Type / Status
Subject Ambundu people E395717 entity
Predicate politicalTitle P1900 FINISHED
Object Ngola
Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
 E1206780 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: Ngola | Statement: [Ambundu people, politicalTitle, Ngola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngola
Context triple: [Ambundu people, politicalTitle, Ngola]
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • C. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • 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: Ngola
Triple: [Ambundu people, politicalTitle, Ngola]
Generated description
Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngola
Target entity description: Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • C. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • D. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • E. Ndiass
    Ndiass is a village in western Senegal that serves as the host community for Blaise Diagne International Airport, one of the country’s main air transport hubs.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e30ee288190b78807b60cb18e22 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ff9020819088f2146bdbfb2e2a completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a0026b6554481909ee5a4de41293d90 completed May 10, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_6a002750c490819082db2044b6a89eaa completed May 10, 2026, 6:36 a.m.
Created at: April 10, 2026, 5:06 a.m.