Triple

T17220300
Position Surface form Disambiguated ID Type / Status
Subject Ovimbundu people E417961 entity
Predicate language P15 FINISHED
Object Umbundu language E532704 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: Umbundu language | Statement: [Ovimbundu people, language, Umbundu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umbundu language
Context triple: [Ovimbundu people, language, Umbundu language]
  • A. Umbundu language chosen
    The Umbundu language is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • B. Mbunda language
    The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
  • C. Lunda language
    The Lunda language is a Bantu language spoken primarily in parts of Angola, the Democratic Republic of the Congo, and Zambia by the Lunda people.
  • D. Warumungu language
    The Warumungu language is an Australian Aboriginal language traditionally spoken by the Warumungu people of the Northern Territory, particularly around the Tennant Creek region.
  • E. Tontemboan language
    The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddd52d4819098b51d55e063c8ab completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016757985881909b5711eb1f206cd7 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.