Triple

T11258081
Position Surface form Disambiguated ID Type / Status
Subject Luvenda E266490 entity
Predicate isEndonymFor P1435 FINISHED
Object Venda language E612754 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: Venda language | Statement: [Luvenda, isEndonymFor, Venda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venda language
Context triple: [Luvenda, isEndonymFor, Venda language]
  • A. Venda language chosen
    Venda language is a Southern Bantu language spoken primarily in South Africa and Zimbabwe, known for its rich noun class system and tonal distinctions.
  • B. Vaghena language
    The Vaghena language is an indigenous Oceanic language spoken by communities on Vaghena Island in Choiseul Province of the Solomon Islands.
  • C. Vangunu language
    The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Vasi-weri language
    The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.