Triple

T17989018
Position Surface form Disambiguated ID Type / Status
Subject Ovamboland E430317 entity
Predicate historicalInhabitants P3032 FINISHED
Object Kwaluudhi 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: Kwaluudhi | Statement: [Ovamboland, historicalInhabitants, Kwaluudhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwaluudhi
Context triple: [Ovamboland, historicalInhabitants, Kwaluudhi]
  • A. Kwaluudhi chosen
    Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
  • B. Ngqumbazi
    Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
  • C. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • D. Mkushi
    Mkushi is a farming and trading town in Zambia known for its commercial agriculture, particularly large-scale commercial farming.
  • E. Gwayi
    Gwayi is a settlement in western Zimbabwe located near the Gwayi River, known primarily for its proximity to this waterway and surrounding rural landscapes.
  • 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.