Triple

T5614555
Position Surface form Disambiguated ID Type / Status
Subject Ndau E147443 entity
Predicate sharesVocabularyWith P2268 FINISHED
Object Karanga E176053 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: Karanga | Statement: [Ndau, sharesVocabularyWith, Karanga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karanga
Context triple: [Ndau, sharesVocabularyWith, Karanga]
  • A. Karanga chosen
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • B. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • C. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • D. Urunga
    Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
  • E. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02123fa9081909086c9cce3f3e907 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9957e481909b57e8d524f4b4f6 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:39 p.m.