Triple

T18656110
Position Surface form Disambiguated ID Type / Status
Subject ngwee E456068 entity
Predicate languageOfName P15 FINISHED
Object Nyanja 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: Nyanja | Statement: [ngwee, languageOfName, Nyanja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyanja
Context triple: [ngwee, languageOfName, Nyanja]
  • A. Nyanja chosen
    Nyanja is a major Bantu language spoken primarily in Malawi, Zambia, Mozambique, and Zimbabwe, known for serving as a lingua franca in parts of southern Africa.
  • B. Kasindi
    Kasindi is a border town in eastern Democratic Republic of the Congo, located near Uganda and serving as an important regional trade and transport hub.
  • C. Lusikisiki
    Lusikisiki is a small rural town in South Africa’s Eastern Cape, known for its scenic coastal surroundings and role as a local service and administrative center.
  • D. Mbulu
    Mbulu is a local name for the Congo peafowl, a rare and elusive forest-dwelling bird species native to the Congo Basin in Central Africa.
  • E. Mbulu
    Mbulu is an ethnic group in northern Tanzania, more commonly known as the Iraqw people, noted for their Cushitic language and intensive agriculture.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55084ca3481909ff3fd9045f25dcd completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:47 a.m.