Triple

T17989014
Position Surface form Disambiguated ID Type / Status
Subject Ovamboland E430317 entity
Predicate historicalInhabitants P3032 FINISHED
Object Kwambi 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: Kwambi | Statement: [Ovamboland, historicalInhabitants, Kwambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwambi
Context triple: [Ovamboland, historicalInhabitants, Kwambi]
  • A. Kwambi chosen
    Kwambi is a dialect of the Ovambo language spoken by the Kwambi people in northern Namibia and southern Angola.
  • B. Nkambe
    Nkambe is a town and administrative center in northwestern Cameroon known for its role as the capital of Donga-Mantung Division.
  • C. Ochosi
    Ochosi is an orisha in the Yoruba and Afro-Caribbean religious traditions, revered as a divine hunter, tracker, and guardian of justice.
  • D. Kangulumira
    Kangulumira is a small town in central Uganda located within Kayunga District.
  • E. Sanyika
    Sanyika is a Hungarian diminutive form of the male given name Sándor, often used as an affectionate nickname.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29e47a88190be58b79c73d3e652 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.