Triple

T18265239
Position Surface form Disambiguated ID Type / Status
Subject Angolar people E437465 entity
Predicate hasEndonym P1435 FINISHED
Object Ngola NE NERFINISHED

How this triple was built (2 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: [Angolar people, hasEndonym, Ngola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngola
Context triple: [Angolar people, hasEndonym, Ngola]
  • A. Ngola chosen
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Ngola
    Ngola was the royal title used by the rulers of the historical Kingdom of Ndongo in what is now Angola.
  • C. 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.
  • D. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • E. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.