Triple

T10382638
Position Surface form Disambiguated ID Type / Status
Subject Ekurhuleni Metropolitan Municipality Council E244679 entity
Predicate hasOfficialLanguage P236 FINISHED
Object Tsonga E70172 NE FINISHED

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: Tsonga | Statement: [Ekurhuleni Metropolitan Municipality Council, hasOfficialLanguage, Tsonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsonga
Context triple: [Ekurhuleni Metropolitan Municipality Council, hasOfficialLanguage, Tsonga]
  • A. Tsonga chosen
    Tsonga is a Bantu language spoken primarily in southern Africa, especially in Mozambique and South Africa, by the Tsonga (Xitsonga) people.
  • B. Marakwet
    Marakwet is a Southern Nilotic language spoken primarily by the Marakwet people of Kenya’s Rift Valley region.
  • C. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • D. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • E. Mañegu
    Mañegu is a dialect of the Fala language spoken in the border region between Spain and Portugal, known for preserving distinctive features of Galician-Portuguese.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e992d8e08190aaa9a04925f52ccc completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7959b6c2c819085b606280024c0f9 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.