Triple

T16602003
Position Surface form Disambiguated ID Type / Status
Subject Kwadi E403350 entity
Predicate hasLexicalSimilarityWith P11829 FINISHED
Object Khwe E927252 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: Khwe | Statement: [Kwadi, hasLexicalSimilarityWith, Khwe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khwe
Context triple: [Kwadi, hasLexicalSimilarityWith, Khwe]
  • A. Khwe chosen
    The Khwe are an indigenous San people of southern Africa, traditionally semi-nomadic hunter-gatherers living mainly in the Okavango and Caprivi regions of Botswana and Namibia.
  • B. Nkoya
    Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
  • C. Inibaloi
    Inibaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in Benguet province on Luzon.
  • D. Kamba
    Kamba is a Bantu language spoken primarily by the Akamba people of Kenya, known for its rich oral traditions and regional cultural significance.
  • E. Ndau
    Ndau is a Southern Bantu language spoken primarily in central Mozambique and eastern Zimbabwe, closely related to Shona.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d770a048190be42180b03efba0b completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.